analytics architect

Eucon GmbH

<div>Data Analytics Engineer / Architect (m/f/d)
Infopro Digital, the B2B group specialising in information and technology, is currently looking for a Data Analytics Engineer / Architect (m/f/d) on a permanent contract to strengthen the team at its Business Unit Automotive.
As of 2025, Eucon has been part of the Automotive division within the Infopro Digital group, headquartered in Paris. With 1,150 employees across 19 countries, Infopro Digital Automotive develops digital tools and software dedicated to the performance of decision-makers in the various sectors of the automotive aftermarket industry. Services benefit various automotive stakeholders, such as car manufacturers, aftermarket parts producers, distributors, and workshops. Further brands include: ETAI, HaynesPro, OATS, Inovaxo, Autronica, ETAI Ib&eacute;rica, IsiCondal, Carooline, Haynes, DriveRightData, GiPA and Aurelis.
Join Infopro Digital and become a Key Player in our Team!
The challenge awaiting you:
As a Data Analytics Engineer / Architect (m/f/d), you will play a key role in shaping scalable data models and transformation pipelines, enabling reliable business insights and advanced analytics through high-quality, well-structured data. You'll be contributing to a variety of projects, while developing your skills and reaching new levels of expertise.
The tasks awaiting you:<ul><li>
Design, build, and optimize scalable data transformation pipelines with a strong focus on SQL performance and efficiency, while maintaining robust dbt projects including models, tests, macros, and structured project setups</li><li>
Develop and evolve data models using dimensional modeling principles (e.g., star schemas) as well as Data Vault 2.0 and Anchor Modeling approaches in a combined modeling environment</li><li>
Define, standardize, and maintain business entities, KPIs, and metric logic as reusable assets, and provide semantic layers consumable by BI tools and machine learning use cases</li><li>
Work closely with business stakeholders to translate requirements into scalable data models, ensuring alignment, data consistency, and a single-source-of-truth approach</li><li>
Leverage modern data platforms such as Snowflake and/or Databricks and contribute to collaborative, Git-based development workflows including code reviews and best practices</li></ul>
About you<ul><li>
Hands-on expertise in Snowflake and its data modeling capabilities for defining business entities, KPIs, and building semantic layers for BI and advanced analytics use cases. Additional experience in Databricks being a plus</li><li>
You bring advanced SQL expertise with a strong focus on transformations and query performance, combined with hands-on experience in dbt (models, tests, macros, and project structure), and a deep understanding of data modeling concepts such as dimensional modeling as well as Data Vault 2.0 and Anchor Modeling (or a strong willingness to learn both)</li><li>
You collaborate effectively with business stakeholders and translate requirements into scalable data models, while maintaining high standards for data quality, harmonization, and single-source-of-truth principles within Git-based development workflows</li><li>
You would stand out with additional knowledge in Power BI (from a consumption perspective), experience with data testing frameworks (e.g., Great Expectations, DQX, Soda), familiarity with data cataloging and lineage tracking, as well as an understanding of feature engineering concepts for future ML use cases</li></ul>
Are you a passionate professional looking for new opportunities? Don't wait any longer and join Infopro Digital's community of professionals!
The benefits that await you
In addition to our range of benefits, such as 30 fixed vacation days per year and flexible working hours, this role offers you:<ul><li>
Modern tech environment: Work with state-of-the-art tools and technologies in a collaborative and forward-thinking data environment.</li><li>
Cross functional teamwork: Close collaboration with various teams in an open and supportive working environment that supports continuous learning and skill development.</li><li>
Additional perks and benefits: Benefits such as job bike leasing, e charging stations, public transport tickets, access to a company doctor, and height adjustable desks in the office.</li></ul>
Apply now &ndash; we&rsquo;re looking forward to hearing from you!
Does this sound like the challenge you&rsquo;re looking for? We&rsquo;d love to get to know you! Bring your expertise and become part of a team that works in a professional, modern, and future‑oriented way.
The best way to apply is directly via our online portal, by email at karriere@eucon.com, or simply by sending us your Xing or LinkedIn profile.
Eucon GmbH
Martin‑Luther‑King‑Weg 2
48155 M&uuml;nster
https://www.eucon.com
Our foundations and values:
At Infopro Digital, we are driven by core values such as entrepreneurial spirit, constant customer focus, promoting diversity, striving for significant impact, and a collaborative culture. By joining us, you become part of a dynamic community that embraces these values on a daily basis, shaping the future with passion and commitment.
Diversity is one of our core values. We are convinced that our teams, drawn from all backgrounds and with different backgrounds and experiences, are one of the key drivers of our success. The Group is committed to a policy of equal opportunities and inclusion, from recruitment to career development, and we strive to provide an equitable working environment to promote the well-being of our teams.
Who are we?
Infopro Digital is a B2B group specializing in information and technology. The group is present in 26 countries and employs over 4,000 people. Its innovative solutions are aimed at professional communities in 5 key economic sectors: construction &amp; public sector, automotive, risk &amp; insurance, industry and retail. 
Thanks to the group&rsquo;s sectorial expertise, Infopro Digital covers all the needs of professionals. Its solutions enable decision-makers to make informed decisions and companies to sustainably develop their commercial activity and performance.</div>

Data Analytics Engineer / Architect (m/f/d)

OSB Group

<div>About the team:

At OSB Group, our Technology and Data functions are central to delivering our strategy and supporting our purpose &ndash; helping more people securely achieve their ambitions. 
As we continue to mature our enterprise data capability, we&rsquo;re recruiting a Data Architect to help shape how data is organised, governed and consumed across the Group. This is a senior, strategic role responsible for defining and implementing an enterprise‑wide data architecture that supports OSB&rsquo;s business goals, aligns to our data strategy, and enables colleagues to confidently use trusted, well‑structured data. 
Reporting into the Group Head of Data Architecture, you&rsquo;ll work closely with business stakeholders, data specialists and engineering teams to design the models, standards and architectural components that underpin OSB&rsquo;s data ecosystem. You&rsquo;ll ensure our data assets are secure, compliant, easy to consume and fit for the future, while driving continuous improvement and supporting innovation across analytics, AI and advanced data use cases. 
The role can be based from our Wolverhampton, London or Chatham offices with regular travel to London expected where this is not your home location.
What you will be doing?:

As a Data Architect you will shape and maintain OSB&rsquo;s enterprise‑wide data architecture, ensuring our data is well‑structured, secure, compliant and easy for the business to use.
Your responsibilities will include:<ul><li>
Define and maintain OSB&rsquo;s enterprise data architecture, creating models, standards and blueprints aligned to business strategy, regulatory expectations and data governance.</li><li>
Partner with business and data stakeholders to translate domain needs into architectural requirements, ensuring data is structured, integrated and easily consumable for analysts, data scientists and engineers.</li><li>
Establish and oversee data lifecycle, security, privacy and compliance practices, ensuring adherence to GDPR, Basel and OSB&rsquo;s risk and governance frameworks.</li><li>
Design and evolve conceptual, logical and physical data models, supporting cloud‑native data processing, Azure/Databricks ecosystems and modern consumption patterns.</li><li>
Drive continuous improvement by adopting emerging technologies (including AI), enhancing architecture components and safely decommissioning legacy data and systems.</li><li>
Maintain clear documentation, contribute to data governance forums and support experimentation, exploration and innovation within the Data Office.</li><li>
Communicate complex technical concepts to non‑technical audiences, applying strong analytical, critical‑thinking and problem‑solving skills in a collaborative, enterprise‑wide environment.</li></ul>
What's in it for you?:
<ul><li>Base salary between &pound;85,000 - &pound;95,000 dependent upon experience</li><li>
Enhanced family-focused benefits</li><li>
Annual bonus opportunity</li><li>
30 days annual leave + bank holidays</li></ul><div>
Please use this link to see the fantastic benefits available at OSB: OSB Careers</div>
About us:
<div>
At OSB Group, we understand how much our people bring to our organisation, which is why we try our best to give back too! Our Purpose is to help our customers, colleagues and communities prosper and we are on a transformation journey to become &lsquo;the bank of the future&rsquo;.</div><div></div><div> 
Our commitment to professional development, flexible working, and employee well-being fosters a dynamic and supportive workplace.</div>
Do you have the skills?:
<div>
We are looking for talented individuals who have the experience and knowledge set out below:</div><ul><li>
Proven experience as a Data Architect with Microsoft Azure Databricks ecosystem including Data Fabric managing different consumption processes.</li><li>
Deep knowledge of enterprise data architecture frameworks, principles, standards and how they align to business strategy, regulatory expectations and governance.</li><li>
Advanced understanding of enterprise data modelling techniques, data lifecycle management, master data management and modern data consumption patterns.</li><li>
Strong familiarity with data governance frameworks, data security practices, cloud‑native processing and best‑practice cloud data architecture.</li><li>
Awareness of emerging data technologies, architectural trends and cost‑management considerations across enterprise data ecosystems.</li><li>
Advanced analytical, critical‑thinking and problem‑solving skills, able to define the right architectural approach and drive strategic change.</li><li>
Excellent communication skills, able to explain complex technical concepts clearly to non‑technical stakeholders and collaborate effectively across a maturing Data &amp; Analytics organisation.</li></ul>
Next steps:
<div>
If this sounds like you, please apply now! For internal applications please visit the internal careers page to apply.</div><div></div> 
Still on the fence? Hear from our team or explore our process: OSB Careers 
Shortlisted candidates will go through a personalised recruitment process, that is relevant and conversational. If you need any adjustments or support, we&rsquo;re here to make sure you can show your best self. 
We are proud to be a Disability Confident employer and are committed to creating an inclusive and accessible workplace where everyone can thrive. 
We welcome applications from people of all backgrounds and encourage candidates with disabilities and long-term health conditions to apply. 
If you meet the minimum criteria for the role and would like to be considered under our Disability Confident Scheme, please indicate this on your application. 
Diversity, Equity &amp; Inclusion 
Our team value spending time together in the office, typically 3 days a week to support collaboration and connection with colleagues, but we&rsquo;re happy to have a conversation about what flexibility might look like for you. 
Not sure if you meet the spec? Let us decide. Research tells us that those from marginalised groups feel like they need to meet 100% of the criteria to apply. Here at OSB, we are committed to inclusivity and understand the value different experiences and perspectives can bring, so please don&rsquo;t feel like you need to check every box to apply for a role internally. 
We champion diversity at all levels, with Board-level Diversity Champions tracking our progress. We are proud to be signed up to the Women in Finance Charter to actively support the growth and development of senior women in our sector and are dedicated to treating all our employees and job applicants equally, opposed to discrimination on any grounds.</div><div></div>

Data Architect

Raytheon

<div>Date Posted:
2026-06-10
Country:
United Kingdom
Location:
Warminster, Wiltshire
Position Role Type:
Hybrid
Job Title: Data Architect<div><div><div><div><div><div><div><div><div>
Function: Engineering
Duration: Permanent
Hours: Full Time (37 hours per week)
Location(s): Warminster</div></div></div></div></div></div></div></div></div>
Security Clearance: Must be eligible to obtain or currently hold an SC Clearance
The role: 
This is more than a job &mdash; it&rsquo;s a mission. You will be part of a high-impact, collaborative environment, where we expect everyone to live the values and standards of the British Army. Every person in our team plays a critical role in delivering OMNIA&rsquo;s vision; designing, delivering, and transforming collective training so the British Army is ready to fight and win.
You&rsquo;ll work in a matrix organisation and report operationally through OMNIA Training and functionally to the Data Lead. Ultimately, you&rsquo;ll work for the British Army, championing innovation, and helping shape the future of military collective training.
Key Responsibilities:<ul><li>
Design our scalable, secure and cost-effective cloud hybrid data solution aligned with Omnia enterprise architecture and Army training objectives.</li><li>
Design innovative data models and metadata systems to interpret and enhance business needs, promoting data as a strategic asset.</li><li>
Develop transitional data architectures and road maps in alignment with Omnia digital transformation objectives, enabling the evolution of integrated training solutions.</li><li>
Collaborate with cross-functional teams and partners to ensure data architectural integrity and alignment.</li><li>
Translate complex technical concepts for a non-technical audience, fostering understanding and buy-in from stakeholders.</li><li>
Support horizon scanning to identify and assess emerging technologies and determine their potential impact on leveraging data analytics to improve training delivery.</li><li>
Membership and contribution to the Omnia Architecture Board(s) to review, define, refine and uphold data architectural principles, policies, and standards across Omnia Training.</li><li>
Work with engineering teams to support and guide the implementation of a variety of solutions across multiple domains, in an agile environment.</li><li>
Manage and lead prototyping and research activity as required to realise the best solutions.</li><li>
Provide oversight and advice to engineers undertaking the design of data models and support the management of data dictionaries.</li><li>
Ensure the security and compliance of data environments through the implementation of appropriate architecture principles, security controls and governance frameworks.</li><li>
Author, review and contribute to technical documentation.</li><li>
Produce High- and low-level design artifacts for data storage, processing, and retrieval systems.</li><li>
Stay current with data technologies, making recommendations for use based on business value. Drive the adoption of these technologies.</li><li>
Serve as the Subject Matter Expert (SME) for the Omnia Data Lakehouse, providing strategic guidance, technical oversight, and deep expertise in its architecture, implementation, and optimisation.</li></ul>
Who we are looking for:
You&rsquo;ll have a mission focus, and the enthusiasm and drive to &lsquo;get things done&rsquo;. You&rsquo;ll want to work in collaboration with other defence training organisations, and the British Army. You won&rsquo;t let bureaucracy get in the way of what needs to be done, you&rsquo;ll learn lessons and share these lessons across the team. You&rsquo;ll understand what it means to put the mission first.
The Data Architect will provide strategic and practical leadership across the data architecture landscape of the Army Collective Training Service (ACTS). This role is pivotal in shaping and governing the enterprise data architecture to ensure it aligns with the ACTS vision and supports data as a mission-critical asset. Working closely with the Data Lead, Enterprise Architect and Chief Engineer, you will design, evolve, and maintain a secure, scalable, and interoperable data architecture, leveraging cloud services from AWS, Azure, and OCP where appropriate.
This role requires a systems-thinking mindset, strong stakeholder engagement skills, and the ability to work across engineering teams in a complex and evolving environment.
Essential Skills and Experience:<ul><li>
Proven experience designing and implementing scalable, secure, and interoperable data architectures in complex environments with cloud platforms (AWS, Azure, GCP, OCI) and cloud-native data services including use of services like S3, Lambda, Glue, Data Factory, etc.</li><li>
Experience designing and supporting implementation of large-scale data pipelines, data warehousing and Lakehouse technologies.</li><li>
Strong skills in conceptual, logical, and physical data modelling using tools like ER/Studio, ERwin, or Sparx EA (preferred). Experience reverse engineering models from existing databases.</li><li>
Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop).</li><li>
Experience with API management and gateway tools and services.</li><li>
Experience of RESTful APIs for ingesting and exposing data.</li><li>
Proven track record with data governance, quality, lineage, and security practices.</li><li>
Experience with real-time/streaming data technologies, data Ingestion / ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub).</li><li>
Experience in, or knowledge of, DevSecOps Tooling and Processes.</li><li>
Self-starter with the ability to appropriately prioritise and plan complex work in a rapidly changing environment.</li><li>
Strong critical thinker with problem solving aptitude.</li><li>
A working knowledge of MoD or Government IT Security environments and requirements at various classifications.</li><li>
Holder of current SC clearance, or the ability to gain it.</li></ul>
Desirable Skills and Experience:<ul><li>
Hands-on experience with containerisation and orchestration (Docker, Kubernetes, Red Hat OpenShift).</li><li>
Exposure to infrastructure-as-code tools (Terraform, CloudFormation).</li><li>
Experience with BI/visualisation tools (e.g., Tableau, Power BI, Looker, Elastic Stack).</li><li>
Knowledge of compliance frameworks (GDPR, HIPAA, CCPA) and their impact on data systems.</li><li>
Relevant Data and Architecture certification such as TOGAF, MODAF, AWS/Azure Certified Data Architect or Solutions Architect, DAMA Certified Data Management Professional (CDMP</li></ul>
What we offer:<ul><li>
Competitive salaries.</li><li>
25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr)</li><li>
Contributory Pension Scheme (up to 10.5% company contribution)</li><li>
Company bonus scheme (discretionary).</li><li>
6 times salary &lsquo;Life Assurance&rsquo; with pension.</li><li>
Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others.</li><li>
Enhanced sick pay.</li><li>
Enhanced family friendly policies including enhanced maternity, paternity &amp; shared parental leave</li></ul>
Work Culture:<ul><li>
37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements.</li><li>
Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role.</li><li>
A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities.</li></ul>
For this role the successful hire will need to be a permanent UK resident and be eligible to obtain or currently hold an SC Clearance.
RTX
Raytheon UK is a landed company and part of the wider RTX organisation. Headquartered in Arlington, Virginia, USA, but with over 180,000 employees globally across every continent, RTX provides advanced systems and services for commercial, military and government customers worldwide and comprises three industry-leading businesses &ndash; Collins Aerospace Systems, Pratt &amp; Whitney, and Raytheon.
Supporting over 35,000 jobs across 13 UK sites, RTX is helping to drive prosperity. Each year our work contributes over &pound;2.7bn to the UK economy and offers a wealth of opportunities to 4,000 suppliers across England, Scotland, Wales and Northern Ireland. We&rsquo;re investing in all corners of the country, supporting 29,040 jobs in England, 3,040 in Northern Ireland, 1,900 in Scotland and 1,600 in Wales.
#LI-AS3
RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
Privacy Policy and Terms:</div>

Snowflake

<div><div>At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don&rsquo;t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset &mdash; who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
This role requires in-person attendance in our Menlo Park, CA office at least 3 days per week.
We are looking for an Analytics Engineer to join our growing Finance Analytics Engineering team. In this role, you will drive value and empower decision-making by developing and maintaining the data infrastructure which fuels reporting and analysis for the Finance organization and has a direct impact on Snowflake&rsquo;s success as a company. As an Analytics Engineer, you will be responsible for the following:<ul><li>
Use SQL, Python, Snowflake, dbt, Airflow, and other systems while working within an agile development model to build and maintain data infrastructure for use in reporting, analysis, and automation</li><li>
Perform data QA and develop automated testing procedures for use with Snowflake data models</li><li>
Translate reporting, analysis, and automation requirements into data model requirements and specifications</li><li>
Work with IT and other technical stakeholders to source data from key business systems and Snowflake databases</li><li>
Architect flexible, performant data models that will support a wide range of use cases while driving the organization towards single sources of truth</li><li>
Provide input into data governance strategies and frameworks including permissions and security models, data lineage systems, and data definitions</li><li>
Meet regularly with Finance BI and technical leads to define requirements, formulate project plans, provide status updates, and perform user testing and QA</li><li>
Build and maintain user friendly documentation for data models and key metrics</li><li>
Identify weaknesses in processes, data, and systems, and drive organizational improvements within the Analytics Engineering team</li></ul>
What You Will Need
Required skills:<ul><li>
3+ years of experience working as an analytics, data, or BI engineer</li><li>
Advanced SQL skills with experience standardizing queries and building data infrastructure involving large-scale relational datasets</li><li>
Experience using Python to parse, structure, and transform data</li><li>
Experience with MPP databases such as Snowflake, Redshift, BigQuery, or other relevant technologies</li><li>
Ability to communicate in an effective and efficient manner while working with a wide range of stakeholders</li><li>
Ability to prioritize and execute tasks in a high-pressure, constantly changing environment</li><li>
Ability to think creatively to solve problems</li><li>
An impulse for introducing structure and simplicity into vague, complex problems</li><li>
An obsession for detail and quality</li><li>
An ability to identify weaknesses in data and process, and a willingness to drive improvement</li><li>
A bias for action</li></ul>
Preferred skills:<ul><li>
Experience with ERP and Financial Planning tools</li><li>
Experience using Python to parse, structure, and transform data</li><li>
Experience working with CI/CD pipelines</li><li>
Experience leading or working within a scrum, sprint, or other agile framework</li><li>
Past experience supporting product or product finance stakeholders</li><li>
Experience working with cost attribution models for SaaS products and tying products out to CSP cost reports</li><li>
Familiarity with cloud cost management and understanding of cost structures in cloud environments (e.g. FOCUS Framework)</li><li>
Demonstrated experience in cloud computing platforms (e.g., AWS, Azure, Google Cloud)</li></ul>
Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
The following represents the expected range of compensation for this role:<ul><li>
The estimated base salary range for this role is $132,000 - $173,000.</li><li>
Additionally, this role is eligible to participate in Snowflake&rsquo;s bonus and equity plan.</li></ul>
The successful candidate&rsquo;s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending &amp; health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.</div></div>

Analytics Engineer

Genpact

<div>Data Architect
This position is only open for External Referrals
Ready to turn bold ideas into real-world impact? 
 At Genpact, we don&rsquo;t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we&rsquo;re at the forefront of it. Genpact&rsquo;s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies&rsquo; most complex challenges. 
 
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquo;s possible, this is your moment. 
 
Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world&rsquo;s leading enterprises. 
 Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.
Job Description -
Responsibilities 
They are responsible for creating and maintaining the architecture for big data systems to ensure optimal performance, scalability, and reliability.\n Roles and Responsibilities: 1. Develop and implement data strategies for large-scale data solutions; 2. Design and maintain data architecture for big data systems; 3. Collaborate with cross-functional teams to understand data requirements and design appropriate solutions; 4. Optimize data storage and retrieval processes for efficiency and performance; 5. Ensure data security, integrity, and compliance with data governance policies; 6. Evaluate and recommend new technologies and tools to enhance data architecture and analytics capabilities.
Qualifications -
Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science
Certifications -
Certified Data Management Professional - RiversandRiversand, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, Databricks Certified Associate Developer for Apache Spark - Databricks AcademyDatabricks Academy, Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft, Oracle Database 12c Certified Implementation Specialist - OracleOracle
Required Skills -
Accounts Payable Process, Accounts Payable Process, Accounts Receivable (AR), Aerospace Manufacturing, Agile Methodology, Automotive Manufacturing, Banking Capital Markets, Change Management, Claims Management, Client Relations, Cloud Computing, Collaboration Tools, Computer Vision, Consumer Electronics, Consumer Packaged Goods (CPG), Databricks Platform, Data Engineering, Design Thinking, Electronic Hardware, Entertainment Journalism, Executive Presence, Healthcare Payors, Inclusion, Industrial Manufacturing Processes, Information Security {+ 26 more}
Language
Language Proficiency -
Additional Job Location -
Job Type
Regular
Master Skill List -
Data Engineering
Remote Type -
Work Shift -
<div>Why join Genpact? 
<ul><li>Lead AI-powered transformation &ndash; Drive innovation and solve real-world business challenges that matter</li><li>Make an impact &ndash; Help global enterprises solve business challenges that matter</li><li>Accelerate your career &ndash; Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead</li><li>Work with the best &ndash; Join 140,000+ bold thinkers and problem-solvers who push boundaries every day</li><li>Thrive in a values-driven culture &ndash; Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress</li></ul>
 
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. 
Let&rsquo;s build tomorrow together. 
 
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. 
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.</div></div>

LINK HMS066234 to JR10007292

Lendable

<div><h2 class="jobSectionHeader">About Lendable</h2>
Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world&rsquo;s leading fintech companies and are off to a strong start:<ul><li>
One of the UK&rsquo;s newest unicorns with a team of just over 700 people</li><li>
Among the fastest-growing tech companies in the UK</li><li>
Profitable since 2017</li><li>
Backed by top investors including Balderton Capital and Goldman Sachs</li><li>
Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)</li></ul>
So far, we&rsquo;ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers&rsquo; hands in minutes instead of days.
We&rsquo;re growing fast, and there&rsquo;s a lot more to do: we&rsquo;re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.<h2 class="jobSectionHeader">
Join us if you want to</h2><ul><li>
Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1</li><li>
Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo</li><li>
Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting</li></ul><h2 class="jobSectionHeader">
About the role</h2>
We're looking for an analytics engineer to contribute to the analytical foundation of the UK Motor team, a rapidly-growing area of the business.
You&rsquo;ll work closely with analysts, product teams, backend engineers, and business stakeholders to improve how data is structured, transformed, and consumed across the company.
The role is fundamentally about building a strong analytical foundation: making it easier for teams to move from question to insight quickly, while maintaining high standards around data quality, scalability, and maintainability.
You'll contribute to the modelling layer, help improve how the business work with data, and support the team in keeping our warehouse a reliable, strategic asset for the business.<h2 class="jobSectionHeader">
What you'll be doing</h2><ul><li>
Building and improving the data models that support lending decisions, pricing, portfolio analysis, and investor reporting.</li><li>
Championing standards and contributing to the improvement of our analytics engineering culture.</li><li>
Supporting and collaborating with analysts at different technical levels,helping translate requirements into robust pipelines</li><li>
Helping triage and resolve issues that affect the analytics pipeline or reduce trust in downstream datasets, and contributing ideas to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time.</li></ul><h2 class="jobSectionHeader">
Our modern data stack</h2>
You&rsquo;ll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude.<h2 class="jobSectionHeader">
What we're looking for</h2>
We&rsquo;re looking for someone with solid analytics engineering fundamentals and the ability to apply them pragmatically in a fast-moving environment and explain tradeoffs to stakeholders with varying technical depth.
More specifically, we&rsquo;re looking for:<ul><li>
Strong data modelling skills and a good understanding of how analytical datasets should be structured for reliability and usability.</li><li>
Strong experience with ELT pipelines and transformation at scale, ideally using dbt.</li><li>
Experience with Snowflake or another modern cloud data warehouse.</li><li>
Proactiveness in raising areas of data workflows that could be improved and suggesting solutions.</li><li>
A collaborative working style and clear communication across technical and non-technical stakeholders.</li><li>
Comfort using AI tools effectively to move faster, improve quality, and strengthen day-to-day analytical and engineering workflows</li></ul><h2 class="jobSectionHeader">
Interview process</h2><ul><li>
Initial call with an engineer</li><li>
15 minute Cognitive Assessment</li><li>
Onsite or Video Interview lasting 90 minutes, comprising of:<ul><li>
Introduction of the team and kind of work you could be doing daily</li><li>
Interactive architecture/design exercise</li><li>
Questions you may have about the company, role, etc.</li></ul></li><li>
A 60 minute chat with this role's primary stakeholders<ul><li>
Cultural/behavioural questions</li><li>
Product mindset and ability to collaborate and communicate</li></ul></li></ul><h2 class="jobSectionHeader">
Life at Lendable</h2><ul><li>
Winning team: the opportunity to scale up one of the world&rsquo;s most successful fintech companies</li><li>
Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites</li><li>
Socials &amp; connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls</li><li>
Health coverage: support for your physical and mental wellbeing, including private health cover</li><li>
Retirement &amp; savings: long-term financial wellbeing through retirement savings plans</li><li>
Employee referral programme: earn a competitive bonus when you refer successful new team members</li><li>
Office meals &amp; snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations</li><li>
Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations</li></ul>
Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.
Check out our blog!</div>

Molina Healthcare

Job Summary Responsible for all the aspects of architecture, design and implementation of Data Management solution using Big Data platform on Cloudera or Hortonworks and other areas of enterprise application platforms. Reporting and analytics are very important for this position. Payment integrity is also important. Please update your resume with any relevant previous experience. Knowledge/Skills/Abilities <ul><li>Convert concepts to technical architecture, design and implementation</li><li>Provide guidance on choosing ideal Architecture, Evaluating tools and Frameworks, define Standards &amp; Best Practices for implementing scalable business solutions</li><li>Implement Batch and Real-time data ingestion/extraction processes through ETL, Streaming, API, etc., between diverse source and target systems with structured and unstructured datasets</li><li>Design and build data solutions with an emphasis on performance, scalability, and high-reliability</li></ul>Code, test, and document new or modified data systems to create robust and scalable applications for data analytics <ul><li>Build data model for analytics and application layers</li><li>Contribute to leading and building a team of top-performing data technology professionals</li><li>Help with project planning and scheduling</li><li>Expert level experience on Databrick components and services (like Databrick Genie Code, Genie Spaces, Genie One, etc.)</li><li>Ability to participate and lead, in solving technical issues while engaged with infrastructure and vendor support teams.</li><li>Strong knowledge in Payment Integrity</li><li>Expert level in reporting and analytics in supporting audits withing Payment Integrity Domain</li><li>Support audit ready dataset and environment</li></ul>Job Qualifications Required Education Bachelor's Degree Required Experience <ul><li>5-7 years of data management experience.</li><li>Experience in building stream-processing systems, using solutions such as Kafka, Storm or Spark-Streaming.</li><li>Proven experience on Big Data tools such as, Spark, Hive, Impala, Polybase, Phoenix, Presto, Kylin, etc.</li><li>Experience with integration of data from multiple data sources (using ETL tool such, Talend, etc.).</li><li>Experience building solutions with NoSQL databases, such as HBase, Memsql.</li><li>Strong experience on Database technologies, Data Warehouse, Data Validation &amp; Certification, Data Quality, Metadata Management and Data Governance.</li><li>Experience with programming language such as, Java/Scala/Python, etc.</li><li>Experience implementing Web application and Web Services APIs (REST/SOAP).</li></ul>Preferred Education Master's Degree Preferred Experience <ul><li>7-10 years of data management experience.</li><li>Experience in the healthcare industry is preferred.</li><li>Reporting and analytics are very important for this position.</li><li>Payment Integrity experience is very important for this opportunity.</li><li>Experience in the healthcare industry is preferred</li></ul>To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. Pay Range: $79,607.91 - $172,483.8 / ANNUAL *Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

Senior Engineer, Big Data - Payment Integrity/Databricks - Remote

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Senior Engineer, Big Data - Payment Integrity/Databricks - Remote