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NTT DATA

Make an impact with NTT DATA
<br>Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.
<br><br>
Your day at NTT DATA
<br><br>
We are seeking a highly skilled Databricks Data Engineer to join our Data AI practice. The successful candidate will have deep expertise in building scalable data pipelines, optimizing Lakehouse architectures and enabling advanced analytics and AI use cases on the Databricks platform. This role is critical in building and optimizing modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients.
<br><br>
As a trusted practitioner, you will design and implement robust ETL/ELT workflows, integrate real-time and batch data sources, and enable secure, well-governed data products and pipelines. You will thrive in a collaborative, client-facing environment, with a passion for solving complex data challenges, driving innovation and ensuring the seamless delivery of data solutions.
<br>.
<br><br>
Looking ahead to future opportunities. As our business continues to grow, we are building a pipeline of exceptional talent for upcoming positions across the UK. This advertisement is intended to identify and engage candidates in advance of specific vacancies becoming available. We encourage you to apply if you would like to be considered for future opportunities that match your expertise
<br><br>
Primary Responsibilities
<br><ul>
<li>Client Engagement Delivery</li>
<li>Data Pipeline Development (Batch and Streaming)</li>
<li>Databricks Lakehouse Architectures</li>
<li>Data Modelling Optimisation (Delta Lake, Medallion architecture)</li>
<li>Collaboration Best Practices</li>
<li>Quality, Governance Security</li>
</ul>
Business Relationships
<br><ul>
<li>Solution Architects</li>
<li>Data Engineers, Developers, ML Engineers, and Analysts</li>
<li>Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership</li>
</ul>
<b>To thrive in this role, you need to have:</b><br>
Key Competencies
<br><ul>
<li>Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms.</li>
<li>Strong consulting values with ability to collaborate effectively in client-facing environments.</li>
<li>Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.</li>
<li>Strong problem-solving, analytical, and communication skills.</li>
<li>Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions.</li>
</ul>
Technical Expertise
<br><ul>
<li>Deep expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow).</li>
<li>Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.</li>
<li>Strong SQL and Python (or equivalent language) skills for data manipulation and automation.</li>
<li>Hands-on experience with cloud platforms (AWS, Azure, GCP).</li>
<li>Familiarity with Databricks Workflows and other orchestration tools.</li>
<li>Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).</li>
<li>Familiarity with medallion architectures, data lakehouse principles and distributed data processing.</li>
<li>Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.</li>
<li>Understanding of data governance, security, and compliance frameworks.</li>
<li>Exposure to AI/ML workloads desirable.</li>
</ul>
Experience, Qualifications, and Education
<br><ul>
<li>Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3 years working with Databricks.</li>
<li>Education: University degree required.</li>
<li>Preferred: BSc/MSc in Computer Science, Data Engineering, or related field</li>
<li>Databricks certifications (Data Engineer Professional) highly desirable.</li>
</ul>
Measures of Success
<br><ul>
<li>Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements.</li>
<li>High client satisfaction and successful adoption of Databricks-based solutions.</li>
<li>Demonstrated ability to innovate and improve data engineering practices.</li>
<li>Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership.</li>
</ul>
<b>Workplace type:</b><br>
About NTT DATA
<br>NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune
<br><br>
Global 100. We are committed to accelerating client success and positively impacting society through
<br><br>
responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with
<br><br>
unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and
<br><br>
application services. Our consulting and industry solutions help organizations and society move
<br><br>
confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more
<br><br>
than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as
<br><br>
established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each
<br><br>
year in RD.
<br><br>
Equal Opportunity Employer
<br>NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
<br><br>
Third parties fraudulently posing as NTT DATA recruiters
<br><br>
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Databricks Data Engineer

Make an impact with NTT DATA
<br>Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.
<br><br>
Your day at NTT DATA
<br><br>
We are seeking an accomplished and detail-oriented Snowflake Data Engineer to join our Data AI practice. The successful candidate will bring deep expertise in data engineering, ETL/ELT pipelines, and cloud-native data platforms, with a strong focus on Snowflake. This role is critical in building and optimizing modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients.
<br><br>
As a trusted practitioner, you will collaborate with architects, developers, and analysts to design, implement, and maintain secure and high-performing data pipelines. You will thrive in a collaborative, client-facing environment, with a passion for solving complex data challenges, driving innovation, and ensuring the seamless delivery of data solutions.
<br><br>
Looking ahead to future opportunities. As our business continues to grow, we are building a pipeline of exceptional talent for upcoming positions across the UK. This advertisement is intended to identify and engage candidates in advance of specific vacancies becoming available. We encourage you to apply if you would like to be considered for future opportunities that match your expertise
<br><br>
Primary Responsibilities
<br><ul>
<li>Client Engagement Delivery</li>
<li>Data Pipeline Development (Batch and Streaming)</li>
<li>Snowflake Cloud Data Platforms</li>
<li>Data Architecture Modelling</li>
<li>Collaboration Best Practices</li>
<li>Quality, Governance Security</li>
</ul>
Business Relationships
<br><ul>
<li>Solution Architects</li>
<li>Data Engineers, Developers, ML Engineers and Analysts</li>
<li>Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership</li>
</ul>
<b>To thrive in this role, you need to have:</b><br>
Key Competencies
<br><ul>
<li>Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms.</li>
<li>Strong consulting values with ability to collaborate effectively in client-facing environments.</li>
<li>Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.</li>
<li>Strong problem-solving, analytical, and communication skills.</li>
<li>Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions.</li>
</ul>
Technical Expertise
<br><ul>
<li>Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning).</li>
<li>Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.</li>
<li>Strong SQL and Python (or equivalent language) skills for data manipulation and automation.</li>
<li>Hands-on experience with cloud platforms (AWS, Azure, GCP).</li>
<li>Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).</li>
<li>Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop).</li>
<li>Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.</li>
<li>Understanding of data governance, security, and compliance frameworks.</li>
<li>Exposure to AI/ML workloads desirable.</li>
</ul>
Experience, Qualifications, and Education
<br><ul>
<li>Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3 years working with Snowflake.</li>
<li>Education: University degree required.</li>
<li>Preferred: BSc/MSc in Computer Science, Data Engineering, or related field</li>
<li>Snowflake certifications (SnowPro Core, Advanced) highly desirable.</li>
</ul>
Measures of Success
<br><ul>
<li>Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements.</li>
<li>High client satisfaction and successful adoption of Snowflake-based solutions.</li>
<li>Demonstrated ability to innovate and improve data engineering practices.</li>
<li>Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership.</li>
</ul>
<b>Workplace type:</b><br>
About NTT DATA
<br>NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune
<br><br>
Global 100. We are committed to accelerating client success and positively impacting society through
<br><br>
responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with
<br><br>
unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and
<br><br>
application services. Our consulting and industry solutions help organizations and society move
<br><br>
confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more
<br><br>
than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as
<br><br>
established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each
<br><br>
year in RD.
<br><br>
Equal Opportunity Employer
<br>NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
<br><br>
Third parties fraudulently posing as NTT DATA recruiters
<br><br>
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Snowflake Data Engineer

Gensler

<div><div><div><div><h2 class="jobSectionHeader"><b>General Information</b></h2>
</div></div><div><div><div><div>Posting Date</div>
<div>08-28-2026</div>
</div><div><div>Time Type</div>
<div>Full-Time</div>
</div><div><div>Job ID</div>
<div>8940</div>
</div><div><div>Areas of Expertise</div>
<div>Design Technology</div>
</div><div><div>Job Category</div>
<div>Data Apps</div>
</div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Locations</b></h2>
</div></div><div><div><div><div>London, United Kingdom</div>
</div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Description</b></h2>
</div></div><div></div><div><div><div><div><p>Placed at the heart of Gensler&rsquo;s People + Process + Technology, the Global Design Technology Studio is advancing a growing data and machine learning foundation that is shaping how the firm designs and delivers its work for generations to come. We believe that when the right intelligence is in the hands of the right people at the right moment, we can transform Gensler and our industry so that our designers can make better decisions, unlock new value for clients, and create built environments that are more responsive, more meaningful, and more impactful than ever before.
</p><p>In the role of Machine Learning Engineer, you will drive and operationalize machine learning across AEC data domains including BIM, geospatial, design-performance, operational, and other project and practice data, translating technical capability into tools and workflows that practitioners can use. This is a digitally transformative, hands-on engineering role focused on building, deploying, maintaining, and optimizing machine learning systems and data pipelines, working with large-scale datasets to power production-ready intelligent systems and drive scalable outcomes across the firm. Success in this role means delivering reliable, secure, and well-governed ML systems that integrate into design workflows, are adopted by teams, and improve decision-making across the firm. You will help shape these capabilities inside an established Design Technology team, working alongside AI and data engineers, data scientists, designers, and product stakeholders to translate ambitious, pioneering ideas into production-ready platforms.<br>
</p><p></p><br>
<p><b>What You Will Do
</b></p><div><ul><li>Design, build, and maintain reliable Azure-based ETL/ELT pipelines that deliver clean, documented data to models, APIs, internal applications, dashboards, and Gensler IP.</li>
<li>Own the production ML lifecycle on Azure &mdash; deployment, monitoring, versioning, retraining, rollback, and incident response &mdash; including model registries, feature stores, evaluation frameworks, and benchmarking.</li>
<li>Implement CI/CD, testing, reproducibility, and deployment standards for model and data workflows.</li>
<li>Extend and mature cloud data architecture and modeling strategies that support analytics and machine learning workloads.</li>
<li>Source, profile, and document datasets with business owners to confirm provenance, quality, fitness for use, and alignment with client-data and governance requirements.</li>
<li>Evaluate model performance and address root causes across data quality, feature engineering, training methodology, and architecture.</li>
<li>Translate research prototypes and experimental models into documented, production-ready systems.</li>
<li>Work across AEC data types such as BIM/Revit/IFC, geospatial, design-performance, occupancy, and other built-environment datasets.</li>
<li>Integrate machine learning outputs into design and delivery workflows so practitioners can access insights earlier and make more informed project decisions.</li>
<li>Apply responsible AI and data governance practices, including transparency, traceability, human oversight, and appropriate handling of client and project data.</li>
<li>Support the firm's data-driven design community through technical guidance, code review, and knowledge sharing.</li>
<li>Help define and track success criteria for deployed systems, including reliability, adoption, reuse, and measurable workflow or decision impact.</li><br>
</ul></div><p></p><br>
<p><b>Your Qualifications
</b></p><div><ul><li>Bachelor's or advanced degree in Computer Science, Software Engineering, Data Science, Statistics, Applied Mathematics, or a related field; equivalent production ML or data engineering experience considered.</li>
<li>8+ years of hands-on experience building, deploying, and operating production ML systems on Azure, with practical MLOps and CI/CD experience including experiment tracking, deployment hygiene, monitoring, evaluation, and operational documentation.</li>
<li>Strong Python and software engineering fundamentals, including testing, version control, code review, reproducibility, modular design, documentation, and maintainable code practices.</li>
<li>Strong experience with Azure-based data and ML platforms, ideally including Azure ML, Databricks, Azure Data Factory or Fabric pipelines, Blob/Data Lake storage, and MLflow or similar tooling.</li>
<li>Experience building production-grade ETL/ELT pipelines and supporting ML workloads from ingestion through deployment.</li>
<li>Comfort moving between data engineering, machine learning, cloud architecture, infrastructure, and hands-on data exploration in a creative, collaborative environment.</li>
<li>Practical knowledge of containerization, infrastructure-as-code, and platform and tooling decisions in lean or fast-moving engineering environments.</li>
<li>Clear communicator who can explain technical decisions to non-engineering stakeholders, collaborate across disciplines, and mentor or support junior engineers.</li>
</ul></div><p>Meaningful pluses
</p><div><ul><li>Experience with AEC, real estate, BIM, geospatial, or digital twin data</li>
<li>Experience integrating ML into practitioner-facing workflows</li>
<li>Familiarity with responsible AI practices</li>
<li>LLM or GenAI deployment patterns</li>
<li>Power BI or other visualization tools</li>
<li>Experience with agentic engineering practices</li><br>
</ul></div><p></p><br>
<p><b>Life at Gensler
</b></p><p>At Gensler, we are as committed to enjoying life as we are to delivering best-in-class design. From curated art exhibits to internal design competitions to &ldquo;Well-being Awareness Week,&rdquo; our offices reflect our people&rsquo;s diverse interests.
</p><p>We encourage every person at Gensler to lead a healthy and balanced life. Our comprehensive benefits include medical, dental, vision, disability, wellness programs, flex spending, paid holidays, and paid time off. We also offer a 401k, profit sharing, employee stock ownership, and twice annual bonus opportunities. Our annual base salary range has been established based on local markets.<br>
<br>
</p><p>As part of the firm&rsquo;s commitment to licensure and professional development, Gensler offers reimbursement for certain professional licenses and associated renewals and exam fees. In addition, we reimburse tuition for certain eligible programs or classes. We view our professional development programs as strategic investments in our future.</p><br>
<div></div>
<div></div><br>
<div><b>NOTICE TO APPLICANTS
</b></div><div>We are proud to be an Equal Employment Opportunity and Affirmative Action employer of choice. All aspects of employment decisions will be based on merit, performance, and business needs. We do not discriminate on the basis of any status protected under applicable regulatory laws.
</div><div>Individuals with disabilities and protected veterans are encouraged to apply. We also consider qualified applicants with criminal histories consistent with applicable regulatory laws.
</div><div>Gensler endeavors to make gensler.com/careers accessible to all applicants. If you need assistance or an accommodation due to a disability, you may <b>contact us </b>.
</div><div>Regarding Gensler&rsquo;s approach to recruiting new talent, we will never ask an applicant for sensitive or personal financial information during the recruitment process. We advise all applicants seeking employment with Gensler to review available information on <b>recruitment fraud </b>. Anyone who suspects that they have been contacted by someone falsely representing Gensler should email talentacquisition@gensler.com .</div></div></div></div></div></div></div>

Machine Learning Engineer

Orbital

<div><p>Orbital Industries is an AI Industrial company, with frontier AI embedded at every step in the production of critical physical products - from creating advanced materials to engineering and manufacturing.</p><p>
Every Orbital Industries product is developed using CurieOS, our AI operating system, uniting AI-automated hardware engineering with AI-designed material science to achieve breakthrough real-world performance. We also offer CurieOS to our customers and partners, extending the same platform and workflows that power Orbital Industries to their own teams and products.</p><p>
We have an ambitious mission and need excellent people in all our teams - AI research, operations, advanced materials, mechanical engineering, chemical engineering and manufacturing.</p><p>
Working at Orbital Industries means working in vertically integrated teams across the full stack, from molecules to manufacturing. We're looking for people who have a love of physical technology, curiosity in AI and a desire to learn.</p><p></p><h2 class="jobSectionHeader"><b>
Role Overview
</b></h2><p>Orbital's AI software platform, CurieOS, is used by scientists and engineers to design and build products serving critical industries. Powering this software are our world leading AI models in advanced materials, hardware engineering and simulation.</p><p>
As a Forward Deployed Engineer at Orbital you will deliver CurieOS into customer environments hands-on, writing production code, designing architectures, building integrations and solving problems across the full breadth of industrial R&amp;D. You will embed with customer teams, translate ambiguous high-value problems into working systems, and build solutions that become part of how their scientists and engineers work day-to-day.</p><p>
First and foremost, we want to work with someone with a love of craftsmanship, continual learning and building systems that scale.</p><p></p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><p><b>
Deliver deployments hands-on, across the breadth of industrial R&amp;D</b></p><ul><li><p>
Deliver complex customer deployments hands-on, writing production code, designing architectures, building integrations and debugging issues across CurieOS and customer systems</p></li><li><p>
Design and build systems that connect heterogeneous software, data and physical infrastructure, from simulation campaigns and digital twins to lab instruments, test rigs and CAD/PLM systems</p></li><li><p>
Build solutions that become embedded in how customer scientists and engineers work day-to-day</p></li></ul><p><b>
Build and deploy</b></p><ul><li><p>
Embed with customer teams to understand ambiguous, high-value R&amp;D problems, challenge assumptions and identify where CurieOS can deliver meaningful impact</p></li><li><p>
Translate those problems into a technical approach, milestones and acceptance criteria, making pragmatic architecture and scope trade-offs as you learn</p></li><li><p>
Build evaluation loops with customer scientists and engineers, defining workflow-specific benchmarks and acceptance criteria that prove the system works in their world</p></li><li><p>
Own your engagement from initial technical discovery through implementation, production deployment and adoption, including technical quality</p></li><li><p>
Track KPIs per engagement (screening throughput, design-cycle reduction, experiments avoided) and communicate progress and outcomes to customer stakeholders</p></li></ul><p><b>
Learn and adapt</b></p><ul><li><p>
Rapidly upskill across unfamiliar scientific and engineering domains by collaborating with domain experts, no prior chemistry, materials, or engineering experience required</p></li><li><p>
Codify successful approaches into reusable integration patterns, tooling and playbooks so every engagement makes the next one faster</p></li><li><p>
Feed field signal to the platform engineering team to shape the CurieOS roadmap</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What We&rsquo;re Looking For
</b></h2><ul><li><p>Strong software engineering fundamentals and a track record of independently building, shipping and operating production software</p></li><li><p>
A track record of succeeding in ambiguous, fast-moving environments where requirements evolve through direct iteration with users</p></li><li><p>
The ability to move fluidly between conversations with customer scientists and engineers and deep technical implementation work</p></li><li><p>
Experience deploying software into complex production environments</p></li><li><p>
A genuine interest in building software that enables breakthrough scientific and industrial applications</p></li></ul><p><i>
Orbital is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</i></p></div>

Forward Deployed Engineer

Sportradar

<div><b>Company Description</b><p><br>
We&rsquo;re the world&rsquo;s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.</p><b><br>
Job Description</b><p><br>
The <b>Senior Pricing Analyst</b> is the quantitative engine behind the pricing function &mdash; answering <b>&quot;how much&quot;</b> and <b>&quot;what if&quot;</b> by building the financial, revenue, and ROI models that operationalize pricing strategy. You will work across large, multi-product revenue and operational datasets, using modern AI and analytics tooling to turn data into pricing decisions at speed, while setting the standard for modeling rigor across the team.</p><p><b>
THE CHALLENGE
</b></p><ul><li>Build and maintain financial revenue and ROI models that translate pricing strategy into commercial decisions.</li><li>
Analyze large, multi-product revenue and operational datasets to surface pricing, margin, and profitability insights.</li><li>
Apply AI and advanced analytics tooling to accelerate modeling, scenario analysis, and data exploration.</li><li>
Create and maintain global price lists across products and content.</li><li>
Run scenario modeling and price elasticity analysis to support pricing decisions.</li><li>
Support content and product valuation, including ROI assessment for content acquisition and new products.</li><li>
Provide business-plan modeling support for new commercial initiatives.</li><li>
Partner with the Revenue Strategy team to ensure models reflect strategy and policy.</li><li>
Set modeling standards and mentor junior analysts, reviewing methodology and outputs for rigor.</li></ul><p><b>
ABOUT YOU</b></p><ul><li>
Degree in Finance, Economics, Mathematics, Statistics, Engineering, or related quantitative field.</li><li>
5+ years in financial modeling, pricing analytics, data analysis, or commercial finance.</li><li>
Demonstrated experience in financial revenue modeling and ROI modeling.</li><li>
Strong AI skills &mdash; practical use of advanced analytics tools to accelerate analysis, modeling, and insight generation.</li><li>
Proven ability to analyze large revenue and operational datasets and translate them into actionable recommendations.</li><li>
Advanced Excel and financial modeling skills; proficiency in SQL and analytics/BI tools (Python or R a strong plus).</li><li>
Exposure to <i>sports</i> <i>betting</i>/gaming, <i>sports</i> data, or B2B data/SaaS environments welcome.</li></ul><p><b>
Key Success Metrics</b></p><ul><li>
Pricing model adoption</li><li>
Speed of pricing updates</li><li>
Accuracy of content valuation</li></ul><p><b>
OUR OFFER:</b></p><ul><li>
A collaborative environment with colleagues from all over the world (Offices in Europe, Asia and US) including various social events and teambuilding.</li><li>
Flexibility to manage your workday and tasks with autonomy.</li><li>
A balance of structure and autonomy to tackle your daily tasks.</li><li>
Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants.</li><li>
Global Employee Assistance Programme.</li><li>
Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience).</li><li>
Online training videos.</li><li>
Flexible working hours.</li></ul><p><i>
While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation&mdash;both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a fully on-site model, with team members working in the office five days a week to build relationships, exchange ideas, and grow together.</i></p><p><b>
OUR RECRUITMENT PROCESS:</b></p><ul><li><p><b>
Initial Screening</b>: A quick chat with our Talent Acquisition Partner to understand your background and expectations.</p></li><li><p><b>
Two Hiring Team Interviews</b>: Meet with the Hiring team and Hiring Manager to dive into your expertise, as also discuss team fit.</p></li><li><p><b>
Final Steps</b>: Receive feedback and, if successful, an offer!</p></li></ul><b><br>
Additional Information</b><div></div><p><i><br>
At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) &ndash; we believe skills evolve over time. If you&rsquo;re willing to learn and grow with us, we invite you to join our team!</i></p></div>

Sr Pricing Analyst

<div><p>Orbital Industries is an AI Industrial company, with frontier AI embedded at every step in the production of critical physical products - from creating advanced materials to engineering and manufacturing.</p><p>
Every Orbital Industries product is developed using CurieOS, our AI operating system, uniting AI-automated hardware engineering with AI-designed material science to achieve breakthrough real-world performance. We also offer CurieOS to our customers and partners, extending the same platform and workflows that power Orbital Industries to their own teams and products.</p><p>
We have an ambitious mission and need excellent people in all our teams - AI research, operations, advanced materials, mechanical engineering, chemical engineering and manufacturing.</p><p>
Working at Orbital Industries means working in vertically integrated teams across the full stack, from molecules to manufacturing. We're looking for people who have a love of physical technology, curiosity in AI and a desire to learn.</p><h2 class="jobSectionHeader"><b>
Role Overview
</b></h2><p>Orbital's AI software platform, CurieOS, is used by scientists and engineers to design and build products serving critical industries. Powering this software are our world leading AI models in advanced materials, hardware engineering and simulation.</p><p>
As Forward Deployed Engineering Lead at Orbital you will build and lead the Forward Deployed Engineering function, owning its technical standards, delivery model and team. You are an engineering leader who builds alongside customers, not a delivery leader who manages engineers. You will deliver complex deployments hands-on while hiring and developing the team that scales this capability across Orbital's growing customer base.</p><p>
First and foremost, we want to work with someone with a love of craftsmanship, continual learning and building systems that scale.</p><p></p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><p><b>
Deliver deployments hands-on, across the breadth of industrial R&amp;D</b></p><ul><li><p>
Drive customer adoption so CurieOS becomes how their scientists and engineers work day-to-day</p></li><li><p>
Deliver complex customer deployments hands-on, writing production code, designing architectures, building integrations and debugging issues across CurieOS and customer systems</p></li><li><p>
Own the technical quality of deployments from prototype through production, including reliability, maintainability and operational performance</p></li><li><p>
Design and build systems that connect heterogeneous software, data and physical infrastructure, from simulation campaigns and digital twins to lab instruments, test rigs and CAD/PLM systems</p></li><li><p>
Develop reusable integration patterns that allow CurieOS to operate reliably across complex customer environments</p></li></ul><p><b>
Own delivery end-to-end</b></p><ul><li><p>
Embed with customer teams to understand ambiguous, high-value R&amp;D problems, challenge assumptions and identify where CurieOS can deliver meaningful impact</p></li><li><p>
Translate those problems into a technical approach, milestones and acceptance criteria, making pragmatic architecture and scope trade-offs as you learn</p></li><li><p>
Own the engagement from initial technical discovery through implementation, production deployment and adoption</p></li><li><p>
Set KPIs per engagement (screening throughput, design-cycle reduction, experiments avoided), measure pre/post and report outcomes to executive sponsors</p></li></ul><p><b>
Build and lead the team</b></p><ul><li><p>
Build and lead the Forward Deployed Engineering function, owning its technical standards, engineering practices and delivery model</p></li><li><p>
Hire, develop and manage exceptional Forward Deployed Engineers across diverse scientific and engineering domains</p></li><li><p>
Set the technical bar through code and architecture review, and act as the escalation point for the most difficult technical decisions and production issues</p></li><li><p>
Staff engagements based on technical complexity and individual strengths, while developing engineers into increasingly independent technical leaders</p></li><li><p>
Codify successful approaches into reusable architectures, tooling and playbooks so the team becomes more effective as it scales</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What We&rsquo;re Looking For
</b></h2><ul><li><p>Significant experience in enterprise software technical delivery or forward deployed engineering roles, you have led complex deployments and written production code alongside customers</p></li><li><p>
Experience building a forward deployed engineering or solutions function, hiring the team, setting the standards and defining the delivery model</p></li><li><p>
The ability to move fluidly between strategy conversations with R&amp;D leadership and debugging sessions with engineers</p></li><li><p>
A track record of succeeding in ambiguous, fast-moving environments where requirements evolve through direct iteration with users</p></li><li><p>
Strong software engineering fundamentals, you still build, and your technical judgement is respected by the engineers you lead</p></li><li><p>
A genuine interest in building software that enables breakthrough scientific and industrial applications</p></li></ul><p><i>
Orbital is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</i></p></div>

Forward Deployed Engineering Lead

Behavox

<div><h4 class="jobSectionHeader"><b>About Behavox</b></h4>
<p>
Behavox is shaping the future for how businesses harness their most important raw material - data. Our mission is bold: Organize enterprise data into actionable information that protects and promotes the business growth of multinational companies around the world.</p>
<p>
From managing enterprise risk and compliance to maximizing revenue and value, our data operating platform presents a widespread opportunity to build multilingual, AI/ML-based solutions that activate data for every function within a global enterprise.</p>
<p>
Our approach is unique, and it's validated by our customers who tell us to keep forging ahead because no one else is aggregating, analyzing, and acting on data to uncover opportunities or solve problems quite the way we are.</p>
<p>
We are looking for fearless innovators who have an insatiable appetite for building what no one has built before.</p>
<p><b>
About the Role</b></p>
<p>
Behavox's Strategic Account Managers own the full commercial relationship with some of the world's most complex and highly regulated financial institutions. This includes delivery outcomes, commercial performance, executive relationships, and long-term strategic growth across a portfolio of global banks, hedge funds, asset managers, and energy firms operating under the world's most demanding regulatory frameworks.</p>
<p>
Clients in this portfolio are building or strengthening unified controls frameworks that bring together communications surveillance, trade surveillance, compliant archiving, and policy management into a single, defensible control system. The Strategic Account Manager's role is to understand where each client sits on that journey, ensure Behavox is delivering against their current needs, and position the platform to serve the full scope of their controls framework over time. This requires full end-to-end ownership of the relationship, delivery, health, satisfaction, retention, and growth for every account in the portfolio, operating with a high degree of autonomy on account strategy, renewals, escalations, and executive relationships.</p>
<p>
The role requires the ability to think strategically and execute operationally, often in the same day. The Strategic Account Manager will own all renewals across the portfolio, build retention strategy, lead negotiations, and close; accurately forecast ARR churn risk and develop mitigation plans; drive inbound expansion deals independently in collaboration with Account Executives; and lead executive business reviews that are genuinely strategic: conversations about compliance posture, regulatory risk, control maturity, and platform value.</p>
<p>
This is a hybrid position based out of our London office.</p>
<p><b>
What You'll Bring</b></p>
<ul>
<li><b>Enterprise compliance technology and unified controls frameworks.</b> Deep working knowledge of how communications surveillance, trade surveillance, compliant archiving, and policy management converge into a single control system at regulated financial institutions; understands how clients evaluate and mature their compliance posture over time.</li>
<li><b>Financial services regulatory environment.</b> Understands the regulatory obligations driving client demand, from communications monitoring requirements to trade reconstruction and archiving mandates, across global banking, hedge fund, asset management, and energy sectors.</li>
<li><b>Multi-stakeholder account management across regulated financial institutions.</b> Navigates complex organizational structures involving Heads of Surveillance, compliance analysts, technology teams, and operations teams; manages both executive-level strategic relationships and working-level practitioner relationships simultaneously.</li>
<li><b>Commercial lifecycle management for enterprise SaaS.</b> Owns the full renewal and expansion cycle: retention strategy, churn forecasting, negotiation, close, and pipeline development in partnership with Account Executives; understands how delivery health directly impacts commercial outcomes.</li>
<li><b>Escalation management and operational accountability</b>. Owns ticket triage, escalation, and resolution end to end for the full portfolio; manages complex, multi-workstream escalations with minimal manager involvement; builds relationships with Product, Engineering, and Support counterparts to accelerate resolution.</li>
</ul>
<p><b>What You'll Do</b></p>
<ul>
<li><b>Account health monitoring and risk identification.</b> Independently assesses account health and risk across commercial, operational, and relationship dimensions; surfaces risk early by reading ticket patterns, stakeholder signals, and adoption data as intelligence; builds intervention plans without manager direction.</li>
<li><b>Executive business review design and delivery.</b> Designs and executes QBRs and EBRs for all accounts including executive-level engagement; leads conversations about compliance posture, regulatory risk, control maturity, and platform value rather than product update calls.</li>
<li><b>Renewal ownership and churn forecasting.</b> Owns all renewals across the portfolio: builds retention strategy, leads negotiations, closes; accurately forecasts ARR churn risk and develops mitigation plans using account health data, stakeholder intelligence, and delivery performance indicators.</li>
<li><b>Expansion identification and commercial execution.</b> Drives inbound expansion deals independently; collaborates with Account Executives per Unit of One model for strategic accounts; leads with value, not discount-first positioning; builds commercial plays grounded in customer intelligence.</li>
<li><b>Delivery follow-through and client communication ownership.</b> Owns the client-facing narrative when delivery issues arise, ensuring commitments made to the client are tracked and fulfilled; translates technical or operational updates into language the client can act on; holds internal teams accountable through to confirmed resolution so the client has everything they need without chasing.</li>
</ul>
<p><b>What We Offer
</b></p><ul><li>A truly global mission with a passionate community in locations all over the world<br>
</li>
<li>Huge impact and learning potential as our aspirations require bold innovation<br>
</li>
<li>Highly competitive compensation</li>
<li>Benefits include fully covered health coverage for employee and family<br>
</li>
<li>Generous time-off policy and flexible work schedule</li>
</ul>
<p><b>About Our Process</b></p><br>
<p>
We take Talent very seriously and we are building a community of extraordinary individuals working together in very high performing teams. We also know that the best Talent always has options so we believe that the process has to be a two way assessment - the company AND the candidate assessing the business needs alignment, the career next step alignment, and the cultural alignment.<br>
<br>
During the process we will begin by exploring the core factors regarding salary and location along with core experience and skills and values alignment. We will then deep dive explore the critical technical competencies we have identified for the role, and then we will deep dive in behavioral competencies.<br>
<br>
The most aligned candidate will then be asked to do a practical work task simulation activity so we can make sure that you will enjoy the kind of work the role requires, and this task will typically be presented and discussed with a group of colleagues and managers. Finally we will ask you to meet with a number of our senior leaders to make sure that you are making the most informed call possible.</p>
<p><b>
Please note that:</b></p>
<ul>
<li>We want to get to know you and have a genuine conversation, so the use of AI tools or assistance during live interviews is strictly prohibited and will result in immediate disqualification from the process</li>
<li>Interviews may be recorded for internal review purposes to ensure fairness and enable collaborative hiring discussions within the team.</li></ul></div>

Strategic Account Manager 3

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