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data scientist - ai strategy team

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data scientist ai strategy team

Promptwatch

<div>
 Data Scientist
 
 
 Amsterdam
 
 Full-time
 
 Medior-Senior (4+ YOE)
 
 &euro;60,000 - &euro;85,000
 
 
 Promptwatch sits on one of the richest datasets in AI Search: real AI responses across ChatGPT, Claude, Gemini, and Perplexity, combined with billions of crawler logs and clicks. We ingest around 2,000 events per second of crawler logs, CDN data, and clickstream data, on top of huge volumes of unstructured AI response text. As a Data Scientist, you'll turn this data into the metrics, models, and insights that define how agentic AI Search is measured and improved.
 
 
 This is a high-impact, hands-on role. You'll work closely with Product and Engineering to design visibility and sentiment metrics, surface trends across millions of AI answers, and build the analytical foundation that our customers and our public research rely on. Working with large amounts of unstructured data, vector search, and embeddings is at the heart of the role.
 
 
 What You'll Do:
 
 
 Design and refine metrics for brand visibility, citations, and sentiment across AI assistants
 
 Analyze large-scale, high-velocity datasets (~2,000 events/second of crawler logs, CDN, and clickstream data) to surface actionable trends
 
 Make sense of large amounts of unstructured AI response text using embeddings and vector search
 
 Build statistical and ML models to detect patterns in how AI systems retrieve, rank, and cite content
 
 Develop reproducible analyses and pipelines that scale with our growing dataset
 
 Produce public-facing research and reports that establish Promptwatch as a thought leader in AI search space.
 
 Validate data quality and define methodologies that customers can trust
 
 What
 
 
 We're Looking For:
 
 
 4+ years experience in data science, analytics, or a quantitative research role
 
 Strong proficiency in Python and SQL for data analysis
 
 Solid foundation in statistics, experimentation, and ML fundamentals
 
 Experience working with large, messy, real-world datasets, including high volumes of unstructured text
 
 Hands-on experience with vector search and embeddings
 
 Ability to translate ambiguous questions into clear, measurable analyses
 
 Strong communication skills to present findings to technical and non-technical audiences
 
 Curious and excited about AI, search, and emerging buyer behavior
 
 Familiarity with data warehouses and analytics tooling (e.g. BigQuery, Tinybird/ClickHouse, Elasticsearch)
 
 
 Nice to Have:
 
 
 Experience with NLP or working with LLM outputs
 
 Background in SEO, search, or marketing analytics
 
 Experience building data visualizations or dashboards
 
 
 Compensation
 
 Salary: &euro;60,000 - &euro;85,000 (depending on experience)
 
 
 Perks: Great office location, team off-sites, company and team sports activities
</div>

Data Scientist

Levy Professionals

<div>ABOUT YOU

You are a Data Scientist with a passion for Generative AI and a strong engineering mindset. You enjoy turning business challenges into scalable AI solutions and thrive in collaborative environments where innovation, ownership, and continuous learning are encouraged. You are comfortable working across the full lifecycle of AI products, from experimentation and model development through to deployment and production support, while keeping business impact at the centre of your work.

WHAT ARE YOU GOING TO DO
<ul><li>Design, build, test, deploy, and maintain scalable Generative AI solutions in production environments</li><li>Work closely with business stakeholders to understand challenges and translate them into impactful AI-driven solutions</li><li>Develop reusable GenAI components and contribute to the adoption of AI capabilities across multiple business domains</li><li>Collaborate with engineers, product specialists, and fellow data scientists to deliver high-quality and responsible AI applications</li><li>Contribute to MLOps, LLMOps, automation, monitoring, and continuous improvement of AI solutions</li></ul>

AN IDEAL PROFILE WOULD BE
<ul><li>5+ years of experience as a Data Scientist or in a similar role with strong Python development skills</li><li>Experience with NLP, LLMs, Generative AI applications, and model development, deployment, and monitoring</li><li>Strong engineering capabilities including Git, CI/CD, APIs, cloud platforms, containerisation, ETL processes, and database technologies</li><li>Experience working with MLOps, LLMOps, DevOps, and cloud-based production environments such as Azure</li><li>Strong communication skills with the ability to collaborate across technical and non-technical stakeholders while coaching and sharing knowledge with others</li></ul>

Contract Duration: Until December 2026, possibility for an extension

Work Model: Hybrid (2 days in office)

Sponsorship: Yes

Open to ZZP as well.

Tick all the boxes? Then smash that button and let&rsquo;s have a chat.

ABOUT US: 
Levy is an international IT staffing organization providing recruitment and project resourcing services to companies ranging from start-ups to well established global players across the UK, Holland, Germany, Belgium, and the USA. By partnering with our clients, we provide tailored interim and permanent IT staffing solutions to help them deliver their initiatives across applications and infrastructure, touching areas such as Digital, Data, Cloud, Cybersecurity and ERP.</div>

Data Scientist (Agentic AI)

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Sales
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
We are Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer too, driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good, you've come to the right place.
As the Manager of Emerging Talent for the AI Builder Program, you will lead, mentor, and scale a high-caliber team of AI-native graduates, and bring a completely fresh approach to problem-solving.This is not a traditional engineering management role; it is a frontier-pushing leadership position designed to channel that native AI mindset into boundary-breaking, real-world customer transformations. It is a blend of people leadership, technical direction, consulting mentorship, and program development - with an exciting focus on pioneering AI approaches to delivering extraordinary outcomes.
We are looking for a strong people leader with reasonable technical fluency to guide and develop a team of new computer science graduates. In this role, you will focus on people leadership and business mentorship, helping your team navigate their early careers while ensuring operational excellence. You will confidently engage with customers across a diverse cross-section of accounts (from Mid-Market through Enterprise Strategic) and serve as a strategic partner
Your primary mission is to translate their unique, intuitive relationship with AI into enterprise-grade success and translate academic computer science excellence into real-world, customer-facing success. You will help your team navigate the frontier of generative AI and Agentforce, architect agent reasoning, and confidently engage with customers to drive business transformations. Additionally, you will play an active role in driving the architecture and execution of our Grad Builder Program , overseeing projects, managing development plans, and delivering advanced technical and consultative training.
<h2 class="jobSectionHeader">Key Responsibilities
</h2><h3 class="jobSectionHeader">1. People Leadership &amp; Talent Development (40%)
</h3><ul><li>Channel AI-Native Superpowers: Champion and harness the unique, fast-paced 'group chat' collaboration styles and intuitive AI habits of recent graduates, turning their fresh perspectives into a competitive advantage for our delivery teams.
</li><li>Manage &amp; Mentor: Act as the direct people manager for a cohort of Emerging Talent AI Builders. Deliver regular 1:1s, performance reviews, career development planning, and compensation management.
</li><li>Bridge the Gap: Help AI natives pivot from 'building experimental side projects' to deploying production-grade, secure, and ethical enterprise software, showing them how to scale their boundary-pushing ideas responsibly.
</li><li>Consulting Coaching: Teach technical grads how to &quot;translate tech into business value.&quot; Coach them on active listening, stakeholder management, discovery sessions, presentation skills, and handling pushback from customers.
</li><li>Cultivating Belonging and Long-term Engagement: Establish a vibrant, inclusive atmosphere. Provide guidance through the specific challenges of early-career excellence, including managing rapid advancement paths, addressing imposter syndrome, and meeting the distinct professional needs of high-potential recent graduates.
</li></ul><h3 class="jobSectionHeader">2. Technical Leadership &amp; Project Governance (30%)
</h3><ul><li>Agentforce Guardrails: Guide graduates through the design of agentic reasoning, prompt engineering, and tool calls. Ensure they are evaluating AI outputs with strict engineering rigor rather than trial-and-error.
</li><li>Technical Coaching: Support Graduates in building scalable and secure agentic solutions. Act as an internal technical sounding partner when a Graduate encounters roadblocks, ensuring they are equipped to succeed.
</li></ul><h3 class="jobSectionHeader">3. Graduate Builder Program Enablement &amp; Strategy (30%)
</h3><ul><li>Pioneer Continuous Upskilling: Foster an active, experimental lab culture where testing the absolute limits of generative AI and Agentforce is celebrated. You will use insights gained from your cohort's rapid experimentation to feed back into the broader organization's upskilling initiatives.
</li><li>Project Matching &amp; Bench Management: Oversee the pipeline of customer work, strategically pairing Grads with projects that stretch their technical capabilities while balancing business needs.
</li><li>Development Milestones: Build, track, and optimize a 12-to-24-month competency matrix detailing when a Grad is expected to master specific technical tracks (e.g., Real-Time Infra) and consulting pillars.
</li><li>University Recruiting Partner: Collaborate with the University Recruiting team to interview, assess, and attract top-tier Computer Science talent from target universities.
</li></ul><h2 class="jobSectionHeader">The Ideal Profile
</h2><h3 class="jobSectionHeader">You can speak their language...
</h3>You have a deep background in computer science or software engineering. You understand object-oriented programming, data structures, and the current landscape of LLMs/prompt engineering.
<h3 class="jobSectionHeader">...and you can teach them yours.
</h3>You are a seasoned consultant or customer-facing tech lead. You know how to read a room, handle a tough customer question during a live deployment, and unpack complex business requirements into technical user stories. You view communication, empathy, and business acumen as core engineering skills. Crucially, you are energized by working with early-career talent who naturally think AI-first. You know how to guide their ambition to push boundaries, helping them refine raw creativity into high-impact business strategy.
<h2 class="jobSectionHeader">Qualifications &amp; Requirements
</h2><h3 class="jobSectionHeader">Minimum Qualifications:
</h3><ul><li>Education: Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a highly technical discipline.
</li><li>Experience: 5+ years of experience in technical consulting, solution architecture, software engineering, or a highly technical customer-facing role.
</li><li>Leadership: 1+ years of experience managing technical teams, acting as a tech lead, or significantly mentoring early-career engineers/consultants.
</li><li>Technical Fluency: Proficient in at least one classic powerhouse language (Python, JavaScript/TypeScript, Java) and a solid understanding of modern web architectures (React, REST APIs, GraphQL). A passion for high quality code and best practices (OOP, SOLID, Git, etc.)
</li><li>AI/LLM Curiosity: Practical, hands-on experience or profound familiarity with Generative AI frameworks, prompt engineering, and LLM orchestration.
</li></ul><h3 class="jobSectionHeader">Preferred Qualifications:
</h3><ul><li>Prior experience managing university graduate programs, technical rotation programs, or tech boot camps.
</li><li>Direct experience with the Salesforce ecosystem, Apex, or building on Agentforce .
</li><li>Background in Enterprise Agile delivery and technical scoping.
</li></ul><h2 class="jobSectionHeader">Why This Role is Unique
</h2>Unlike traditional engineering managers who operate strictly behind the scenes, or traditional consulting managers focused purely on utilization metrics, you are at the epicenter of a workforce revolution. You are not just teaching a syllabus, you are leading a generation of AI natives who will fundamentally rewrite how businesses operate. In this role, you have a blank canvas to push boundaries, experiment with leading-edge agentic technology, and serve as the premier showcase for Salesforce's company-wide upskilling strategy. If you want to change the trajectory of early-career professionals while actively redefining the future of work itself, this is your platform.
Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</div>

AI Builder, Manager

Eidra Consulting

<div>Eidra is an international, PE-backed consultancy collective that combines management consulting with deep expertise in design, technology, and commerce. In 3.5 years, the Dutch collective has grown significantly and is now shifting from product execution toward broader strategic partnerships with clients. The new Senior Director Consulting will lead the practice that drives that shift.<h3 class="jobSectionHeader">
The role</h3>
Eidra is wired for growth. The moment to accelerate is now, and in the Netherlands, that acceleration starts with the Senior Director Consulting who builds and leads the practice worthy of that ambition.
The starting point is a consulting practice with nine professionals, most of them senior generalists with strong strategy consulting backgrounds. Part of the team operates as orchestrator and strategist on larger client assignments that span multiple companies within the collective. Others are embedded directly inside the operating companies, actively bridging the consulting and expert worlds. In AI work specifically, Eidra's engineers, product designers, and data specialists sit alongside the consulting team, so a strategy engagement can credibly cover the full stack, from operating model to product to change program. It is a position very few pure-play strategy firms can match, and the foundation for something significantly larger.
The Senior Director will grow the Dutch consulting practice, with the ambition to triple or quadruple the team into a practice that is built to last. That means winning new clients and deepening existing relationships, moving from focused specialist engagements toward full-scope growth programs that draw on the breadth of the collective. The Senior Director sits at the table where growth strategies are defined, and builds the relationship from there, orchestrating seamlessly across brands and capabilities to make sure clients get the full strength of the group. That orchestration, getting the most value out of the collective for every client, is the core responsibility of the consulting practice.
Both words in that sentence &mdash; &quot;builds&quot; and &quot;relationship&quot; &mdash; capture what this role is about at its core. The entrepreneurial appetite for building is matched by a talent to connect people and build relationships, externally with C-level client stakeholders and internally with the managing directors and specialists across the Dutch operating companies. Genuine curiosity is the foundation: an intrinsic interest in what happens inside a product studio, a design agency, or a commerce practice, and the ability to earn the trust of people who are exceptionally good at what they do. Eidra consultants care more about the problem than their title.
Eidra operates on a simple principle: test it, try it, and see if it works. There is no predefined path and no shortage of room to experiment. The Senior Director who thrives here is energized by that freedom and committed to bringing out the best in themselves and their fantastic team of experts every day: designers, engineers, brand strategists, and digital specialists who have built things, shipped things, and won awards. Working alongside them teaches something no strategy deck ever could. This is not a practice with a vision already set: it is one still waiting to be built.<h3 class="jobSectionHeader">
A genuine challenger</h3>
Most management consultants know the frustration of handing over a deck and watching nothing happen. At Eidra, that frustration disappears. The execution capacity sits next door: strategy becomes a product roadmap, a brand repositioning, a re-engineered customer journey, software that actually gets built. Eidra has established itself as a genuine challenger to the largest consulting firms, and is increasingly invited to compete at that level. The Netherlands is one of Eidra's three primary growth markets, alongside DACH and the US, with growth split roughly evenly between organic expansion and acquisitions.<h3 class="jobSectionHeader">
What you bring</h3>
Over 12 years of experience, with a foundation in consulting followed by a more entrepreneurial or commercial path, such as growing a business or a business line
Track record in building and growing C-suite client relationships
Generalist consulting toolkit across growth strategy, operating models, and digital transformation
Entrepreneurial mindset
Organizational savvy with strong stakeholder management skills
Able to translate AI strategy into operating models, products, and execution
Fluent Dutch speaker, based in the Netherlands</div>

Senior Director Consulting

<div>Company Description 
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. 
Job Description 
What you will do 
As an expert in the field of Machine Learning Engineering you will be responsible for the growth of our Data team, both professionally as well as in size. You will be in charge of shaping and executing the future of your expertise within Sia. You will work on client projects as well as on building our own Sia AI solutions, together with our Dutch team of Data Scientists, our French Data Engineering team, and other business units of Sia Global.
Your responsibilities include:<ul><li>
Leading an internal team towards the development of AI products;</li><li>
Working in a multidisciplinary team on client projects as an expert on your subject;</li><li>
Making architectural and design decisions for cloud environments;</li><li>
Building production level ML/AI solutions with solid software engineering;</li><li>
Guiding Data Scientists to scale up their models into production (parallelizing, optimizing, tuning, testing, and wrapping);</li><li>
Giving trainings, leading internal meetings and organizing external events;</li><li>
Participating in team meetings and workshops with clients;</li><li>
Writing blog articles, presenting at conferences and sending out press releases on the subject that you lead.</li></ul>
Who you will work with 
The Data Science team is young, diverse and growing (10+). You will join a team that will challenge you and invest in your professional development. We have a flat structure and rely on the entrepreneurial spirit of our members: initiative is highly encouraged. We are striving for well-being, diversity and knowledge-sharing inside the team, so that we can grow together.
Who you are<ul><li>
You are an established technical professional that wants to make the next step in their career, taking on more leadership responsibilities.</li><li>
You have first-rate project management and time management skills.</li><li>
You are a true problem solver, you turn complex issues into simple and impactful business solutions.</li><li>
You are enthusiastic for applying Data Science/Engineering solutions to business problems.</li><li>
You have excellent communication skills and can present complicated concepts in a synthetic way.</li><li>
You have the ability to adapt rapidly and work on a range of different business areas within a challenging environment.</li><li>
You have the ability to work collaboratively in a team environment.</li></ul>
In return, you can expect:<ul><li>
An international company that gives importance to diversity, inclusion, employee well-being and corporate social responsibilities actions.</li><li>
A great working atmosphere with friendly and professional colleagues where innovation and entrepreneurship are encouraged</li><li>
A personal development plan with a regular follow-up as well training opportunities to develop yourself</li><li>
A competitive salary with great advantages, like mobility budget, hospital insurance, performance -related bonus,...</li></ul> 

Qualifications 
<ul><li>
MSc level education in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems or related field of study.</li><li>
2-4 years of experience in building production-quality ML/Deep Learning pipelines and models.</li><li>
Good understanding of Machine Learning fundamentals and strong knowledge in a specific domain (e.g., Computer Vision, Deep Learning, NLP).</li><li>
Expert coding skills in Python and at least one of these languages: Scala, C++, Java.</li><li>
Hands-on experience with database management languages (e.g., SQL, PostgreSQL).</li><li>
Hands-on experience in cloud-based infrastructures (AWS/GCP/Azure).</li><li>
Hands-on experience with Unix-based command line and DevOps tools (Git, Docker, Kubernetes).</li><li>
Hands-on experience with big data technologies (e.g. Spark, Hadoop, Databricks).</li><li>
You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you&rsquo;re excited about helping our clients seize the opportunities they offer.</li><li>
Experience with coaching/mentoring other engineers.</li><li>
Prior experience in Management Consulting is a strong plus.</li><li>
Willingness to travel and work at local and international clients.</li><li>
Fluency in spoken and written English and Dutch is required.</li></ul> 

Additional Information 
We are unable to provide a work permit for this position
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.<div></div>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</div>

Machine learning Engineer

<div>Company Description 
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. 
Job Description 
The Data Science team is young, diverse and growing. As we are still relatively small you will be in the driver seat to shape its future. We have a flat structure and value the entrepreneurial spirit of our members: initiative is highly encouraged. We are also striving for well-being, diversity and knowledge-sharing inside the team, so that we all grow.
As a Data engineer consultant you will be working on various client projects as well as on building our own Sia AI solutions, together with our French Data Engineering team:<ul><li>
Cloud Services at GCP, AWS and Azure: architecture choices, use of storage &amp; compute services, cost monitoring and optimization, role management, Infrastructure as Code</li><li>
Docker and Kubernetes: containerization &amp; orchestration of applications, management of K8s clusters adapted to Data Science workloads</li><li>
Python programming: development of server-side tools (bulk data processing, REST API server, authentication, ...)</li><li>
CI/CD: managing the integration and ongoing deployment of our applications and internal platforms, supporting the deployment of Data Science projects at our clients' sites</li><li>
Data pipelines: development of ETL scripts in Big Data environments</li><li>
Infrastructures &amp; Services adapted to Machine Learning: technology watch and implementation of solutions useful to Data Scientists in the learning and provision of their ML models.</li></ul> 

Qualifications 
<ul><li>
 You hold a Master&rsquo;s Degree with a strong quantitative component (e.g. Econometrics, Physics, Mathematics, Statistics, Quantitative Finance)</li><li>
You have 1-3 years of relevant experience in Data, DevOps, Cloud or Software Engineering.</li><li>
You have a good level in Python and have a solid foundation in other languages. You are familiar with at least one SQL DBMS (ideally PostgreSQL) and ideally noSQL (ideally MongoDB).</li><li>
Ideally, you are already familiar with at least one cloud services platform (GCP, AWS, Azure) with experience mixing different services within the same project. If not, you have a strong appetite to learn more about these topics.</li><li>
You are comfortable using Docker, automating CI/CD pipelines and have a strong appetite for gaining competence in Kubernetes if you do not yet have experience with this solution.</li><li>
You will be able to work in a DevOps culture, taking responsibility for the code lifecycle, from development to deployment and maintenance of applications (mastery of the Gitlab-CE ecosystem is a plus). You are also familiar with Infrastructure as Code concepts and tools (ideally Terraform).</li><li>
You are sensitive to security issues and have experience in implementing application protection solutions (certificate management, HTTPS security, OAuth2 authentication, credential management)</li><li>
You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you&rsquo;re excited about helping our clients seize the opportunities they offer.</li><li>
You have excellent interpersonal and team working skills</li><li>
Excellent English and Dutch verbal and written skills are required.</li></ul> 

Additional Information 
We are unable to provide a work permit for this position 
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</div>

Consultant Data Engineer

Databricks

<div>REQ ID: CSQ427R209
 
 
Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further.
As Manager, Forward Deployed Engineering, you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with Databricks' most strategic enterprise customers, you will shape how leading organizations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments.
As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernization programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact.
<h2 class="jobSectionHeader">The impact you will have:</h2>
<ul><li>Oversee regional performance targets including billable utilization, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio.</li>
<li>Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics.</li>
<li>Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification.</li>
<li>Synthesize field insights from your team&rsquo;s engagements to provide direct feedback to Engineering and Product management, helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks.</li>
<li>Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution.</li>
<li>Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth.</li>
</ul><h2 class="jobSectionHeader">What we look for:</h2>
<ul><li>4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organizations with a proven track record of building excellence-driven cultures.</li>
<li>5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners.</li>
<li>Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Manufacturing, Finance, Healthcare, Retail, Telco, or Energy.</li>
<li>Strong understanding of technical project delivery, including managing scope, timelines, statements of work (SOWs), and professional services delivery metrics.</li>
<li>Strong stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level.</li>
<li>Familiarity with Databricks, Apache Spark&trade;, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued.</li>
<li>Ability to travel to customer sites and Databricks offices approximately 20% of the time.</li>
</ul><div>About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Manager, Forward Deployed Engineering

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