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data & ml infrastructure engineer

data engineering lead

Everience Benelux

<div>Company Description 
Everience is an international consulting group delivering AI-augmented digital services and placing people at the heart of the AI revolution.
With a presence in Europe, Africa, Asia and America, Everience offers its 4,000-strong workforce the most demanding and stimulating environment in which to transform and develop their skills, learning about new AI-based roles and building their future employability.
Through its Symbiotic Academy the group offers a unique hub for training, practical application and exchange where everyone can experiment, learn, and progress in the fields of artificial intelligence and data.
In accordance with its core purpose of orchestrating the symbiotic relationship between humans and AI in the workplace, Everience is making the augmented employee the driving force of a &ldquo;symbiotic age&rdquo;, where AI enhances talents and opens up new career opportunities. 
Job Description 
Mandatory Skills &amp; Experience
We are looking for a MarTech Data Engineering Lead to drive the development and evolution of a modern Marketing Technology platform for a leading organisation within the banking sector. Data is at the core of enabling personalised customer experiences and marketing capabilities. As the Engineering Lead, you will define the data engineering and integration strategy, working closely with business stakeholders, data analysts, data scientists, and enterprise architects to translate business requirements into scalable technical solutions.
Customer Data Platforms (CDP)<ul><li>
5+ years of experience working with Customer Data Platforms (CDPs).</li><li>
Proven expertise in customer identity management, profile unification, and audience segmentation strategies.</li><li>
Strong understanding of customer data activation and omnichannel marketing ecosystems.</li><li>
Experience working with flexible or open-schema CDP solutions is highly desirable.</li></ul>
Data Architecture &amp; Engineering<ul><li>
Strong background in Data Engineering and data integration.</li><li>
Experience designing and implementing scalable data integration architectures.</li><li>
Solid understanding of:<ul><li>
Data modelling</li><li>
Customer identity resolution</li><li>
Data governance</li><li>
Data quality frameworks</li><li>
Event-driven architectures</li><li>
API-based integrations</li></ul></li><li>
Experience working with cloud-based data platforms, preferably Google Cloud Platform (GCP).</li></ul>
Technical Leadership &amp; Integration<ul><li>
Proven experience leading engineering teams or technical delivery teams.</li><li>
Ability to translate complex business requirements into technical solutions for engineering teams.</li><li>
Comfortable working with business stakeholders, architects, and cross-functional teams.</li><li>
Experience integrating Customer Data Platforms with:<ul><li>
CRM platforms</li><li>
Marketing Automation platforms</li><li>
Analytics solutions</li><li>
Consent Management platforms</li><li>
Customer Engagement platforms</li></ul></li><li>
Experience collaborating with third-party vendors, reviewing technical designs, and challenging solution proposals where appropriate.</li></ul> 
Qualifications 
Soft Skills<ul><li>
Excellent communication and stakeholder management skills.</li><li>
Ability to explain complex technical concepts to both technical and non-technical audiences.</li><li>
Strong analytical thinking and problem-solving abilities.</li><li>
Demonstrated ownership, accountability, and a proactive approach to delivery.</li><li>
Experience working within Agile delivery environments.</li><li>
Ability to thrive in complex, international, and multidisciplinary teams, ideally within the financial services or banking sector.</li></ul> 

Additional Information<div></div> 
All our positions are open to both women and men and are, of course, open to people with disabilities.</div>

MarTech Data Engineering Lead (m/w/d)

AQ International

<div>Here at Precision AQ we are building a Data Hub, a centralized platform team, to be responsible for consolidating legacy data infrastructure, establishing enterprise data foundation and governance and enabling AI/ML capabilities across the organization. The Data Hub is moving from strategy to execution. We have a charter, a roadmap, executive sponsorship, and a clear mandate: consolidate fragmented data pipelines into a governed, scale able platform that serves multiple business units and product lines. We are now hiring an engineering leader who can build and run the team.

Job Summary:
<ul>
<li>Stand up and scale a high-performing engineering team</li>
<li>Own day-to-day engineering operations: sprint delivery, technical quality, capacity planning</li>
<li>Drive technical excellence: architecture decisions, code quality, DevOps/GitOps practices, production reliability</li>
<li>Be the primary escalation point for technical blockers, cross-team dependencies and delivery risks</li>
<li>Partner with the SVP on hiring, team development, vendor relationships and strategic planning</li>
</ul>
Key Responsibilities:
<ul>
<li>Engineering Team Leadership: Build, lead, and develop a team of data engineers, analytics engineers, and platform engineers. Set expectations, run 1:1s, manage performance, and create an environment where strong engineers want to stay and grow. You are accountable for the team's output, quality, and morale.</li>
<li>Sprint Delivery and Capacity Management: Own the engineering delivery cadence. Run sprint planning, standups, and retrospectives. Manage capacity across concurrent workstreams (platform build, migrations, feature development). Ensure commitments are realistic and met.</li>
<li>Technical Design and Architecture: Lead technical design reviews and architectural decisions. Ensure solutions are scalable, maintainable, and aligned with our medallion data architecture. You don't need to design everything yourself, but you need to ensure designs are sound before they go to production.</li>
<li>Engineering Quality and Standards: Establish and enforce engineering practices: such as code review, branching strategy, CI/CD, testing, documentation, incident management.</li>
<li>Partner with SVP on Hiring and Onboarding.</li>
<li>Cross-Functional Coordination: Serve as the engineering interface to Insights Hub, Evidence Solutions, Product Solutions, and IT. Translate business requirements into technical scope. Manage dependencies with Corporate IT, Security, and external vendors. Escalate blockers early and clearly.</li>
<li>Platform Operations and Reliability: Ensure production systems meet SLAs. Establish monitoring, alerting, and incident response processes.</li>
</ul>
Education and Experience:
<ul>
<li>5/8+ years in data engineering, analytics engineering, or platform engineering roles</li>
<li>3+ years leading engineering teams (hiring, performance management, delivery accountability)</li>
<li>Direct experience with modern data stack: cloud data warehouses (Snowflake preferred), transformation frameworks, orchestration tools</li>
<li>Track record of delivering complex data platform initiatives, such as migrations, consolidations, greenfield builds</li>
<li>Experience operating in regulated or compliance-sensitive environments</li>
<li>Be able to review code, debug production issues and make sound architectural judgements.</li>
</ul>
This hands-on leadership role is for you if:
<ul>
<li>You've built and scaled engineering teams and enjoyed it</li>
<li>You're energized by the challenge of consolidating legacy systems into something better</li>
<li>You're comfortable with ambiguity and can make progress without perfect information</li>
<li>You care about engineering craft: clean code, good tests, clear documentation</li>
<li>You want to be close to the work</li>
<li>You can balance delivery pressure with sustainable team health</li>
<li>You're excited by the opportunity to shape a function, not just manage one</li>
</ul><div>
Any data provided as a part of this application will be stored in accordance with our Privacy Policy.

Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at myHR@precisionmedicinegrp.com.

Recruitment Fraud Warning: Please be aware that fraudulent individuals and websites may impersonate Precision Medicine Group or its affiliates and attempt to obtain personal, financial, or banking information through fake job postings or employment offers. Precision Medicine Group will never request payment, banking details, or other sensitive financial information as part of the recruitment process. If you believe you have been targeted by a recruitment scam, we encourage you to report the incident to your local law enforcement authorities, consumer protection agency, or relevant cybercrime reporting organization in your country. Please also notify us at myHR@precisionmedicinegrp.com so we can investigate and take appropriate action.</div></div>

Engineering Director

Precision Medicine Group

<div>Here at Precision AQ we are building a Data Hub, a centralized platform team, to be responsible for consolidating legacy data infrastructure, establishing enterprise data foundation and governance and enabling AI/ML capabilities across the organization. The Data Hub is moving from strategy to execution. We have a charter, a roadmap, executive sponsorship, and a clear mandate: consolidate fragmented data pipelines into a governed, scale able platform that serves multiple business units and product lines. We are now hiring an engineering leader who can build and run the team.

Job Summary:
<ul>
<li>Stand up and scale a high-performing engineering team</li>
<li>Own day-to-day engineering operations: sprint delivery, technical quality, capacity planning</li>
<li>Drive technical excellence: architecture decisions, code quality, DevOps/GitOps practices, production reliability</li>
<li>Be the primary escalation point for technical blockers, cross-team dependencies and delivery risks</li>
<li>Partner with the SVP on hiring, team development, vendor relationships and strategic planning</li>
</ul>
Key Responsibilities:
<ul>
<li>Engineering Team Leadership: Build, lead, and develop a team of data engineers, analytics engineers, and platform engineers. Set expectations, run 1:1s, manage performance, and create an environment where strong engineers want to stay and grow. You are accountable for the team's output, quality, and morale.</li>
<li>Sprint Delivery and Capacity Management: Own the engineering delivery cadence. Run sprint planning, standups, and retrospectives. Manage capacity across concurrent workstreams (platform build, migrations, feature development). Ensure commitments are realistic and met.</li>
<li>Technical Design and Architecture: Lead technical design reviews and architectural decisions. Ensure solutions are scalable, maintainable, and aligned with our medallion data architecture. You don't need to design everything yourself, but you need to ensure designs are sound before they go to production.</li>
<li>Engineering Quality and Standards: Establish and enforce engineering practices: such as code review, branching strategy, CI/CD, testing, documentation, incident management.</li>
<li>Partner with SVP on Hiring and Onboarding.</li>
<li>Cross-Functional Coordination: Serve as the engineering interface to Insights Hub, Evidence Solutions, Product Solutions, and IT. Translate business requirements into technical scope. Manage dependencies with Corporate IT, Security, and external vendors. Escalate blockers early and clearly.</li>
<li>Platform Operations and Reliability: Ensure production systems meet SLAs. Establish monitoring, alerting, and incident response processes.</li>
</ul>
Education and Experience:
<ul>
<li>5/8+ years in data engineering, analytics engineering, or platform engineering roles</li>
<li>3+ years leading engineering teams (hiring, performance management, delivery accountability)</li>
<li>Direct experience with modern data stack: cloud data warehouses (Snowflake preferred), transformation frameworks, orchestration tools</li>
<li>Track record of delivering complex data platform initiatives, such as migrations, consolidations, greenfield builds</li>
<li>Experience operating in regulated or compliance-sensitive environments</li>
<li>Be able to review code, debug production issues and make sound architectural judgements.</li>
</ul>
This hands-on leadership role is for you if:
<ul>
<li>You've built and scaled engineering teams and enjoyed it</li>
<li>You're energized by the challenge of consolidating legacy systems into something better</li>
<li>You're comfortable with ambiguity and can make progress without perfect information</li>
<li>You care about engineering craft: clean code, good tests, clear documentation</li>
<li>You want to be close to the work</li>
<li>You can balance delivery pressure with sustainable team health</li>
<li>You're excited by the opportunity to shape a function, not just manage one</li>
</ul><div>
Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.

Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at myHR@precisionmedicinegrp.com.

Recruitment Fraud Warning: Please be aware that fraudulent individuals and websites may impersonate Precision Medicine Group or its affiliates and attempt to obtain personal, financial, or banking information through fake job postings or employment offers. Precision Medicine Group will never request payment, banking details, or other sensitive financial information as part of the recruitment process. If you believe you have been targeted by a recruitment scam, we encourage you to report the incident to your local law enforcement authorities, consumer protection agency, or relevant cybercrime reporting organization in your country. Please also notify us at myHR@precisionmedicinegrp.com so we can investigate and take appropriate action.</div></div>

<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

Effectory

<div>As Data Lead you'll own the data function end-to-end: the operating model, platform investment, team and outcomes. You'll lead an engineering team (~5 FTE), working closely with Product, Revops, Finance and GTM to make data central to how the business operates day-to-day. Our ambition is to tie operational data to engagement results so that our customers can prove the impact of employee feedback on their business&rsquo; performance. This means you'll also collaborate closely with the reporting product team. In this role you will report directly to the CTO.
What you&rsquo;ll be doing:
Data foundation &amp; architecture<ul><li>
Own the design and implementation of the internal data stack &mdash; warehouse, pipelines, orchestration, and BI layer</li><li>
Define target architecture compatible with the existing external product data stack owned by the reporting team</li><li>
Safeguard data quality, reliability, and documentation across all critical datasets</li><li>
Create and maintain shared metric definitions and data standards across the business</li></ul>
Strategy &amp; stakeholder leadership<ul><li>
Define and own the company's data strategy and 12-month roadmap, aligned to company OKRs</li><li>
Partner with leadership &mdash; including RevOps, CISO, CTO, Finance, and Product &mdash; to align data capabilities with business priorities</li><li>
Establish clear working agreements with RevOps on metric ownership and shared data models, ensuring a single source of truth for critical company metrics</li><li>
Work alongside the CISO on data governance and access controls &mdash; security policy remains with the CISO; implementation sits with the Head of Data</li></ul>
Analytics &amp; AI readiness<ul><li>
Deliver self-serve BI capabilities for Product, Customer Success, Finance, and the executive team</li><li>
Own product and customer engagement metrics; collaborate with RevOps on a shared revenue metrics layer</li><li>
Ensure data is structured, documented, and governed in ways that enable advanced analytics, automation, and AI use cases</li><li>
You set the standard for how the team uses LLMs, agents and automation in daily work, leading by example through hands-on workflow development and coaching the team to adopt AI-enabled ways of working by default.</li></ul>
Team building<ul><li>
Foster a data-driven culture across the organisation through standards, tooling, and stakeholder engagement</li></ul> 
This is you:
We&rsquo;re looking for someone with a proven track record of building data foundations that scale. You have designed or rebuilt the core data stack, from warehouse, pipelines, orchestration and BI layer to shared metric definitions, semantic models and data standards. You&rsquo;ve done this in a way the business actually adopts. You understand why self-serve analytics often stalls without clear ownership, quality, governance and stakeholder alignment, and you know how to turn it into trusted day-to-day decision support across Product, RevOps, Finance, GTM and leadership. 
Additionally you&rsquo;ll have: 
<ul><li>
7+ years in data or analytics roles, with at least 3 years in a leadership or management capacity</li><li>
You&rsquo;re a strong people leader who builds clarity, accountability and momentum in technical teams. You&rsquo;re able to set direction, coach engineers and analysts, and create the conditions for high-quality delivery</li><li>
You&rsquo;ll bring strong SQL skills and hands-on experience with modern data stacks (e.g. Snowflake or DataBricks, dbt, Azure Data Factory, Fivetran, PowerBi or Looker etc.)</li><li>
You have experience operating in ambiguous, fast-growing environments where ownership is unclear and priorities shift</li><li>
Demonstrated ability to work as a peer alongside Revenue Operations, Security, and Engineering functions &mdash; influencing without formal authority</li><li>
You are pragmatic, analytical and results-oriented, with the ability to cut through ambiguity and turn complex data challenges into clear priorities and tangible business outcomes</li><li>
Privacy and security are essential in our business. You understand what it takes to create highly flexible insights while safeguarding individuals' privacy and meet enterprise security requirements</li><li>
You&rsquo;re fluent in English</li></ul>
This is us
Effectory is Europe&rsquo;s leading employee feedback solution. Our platform helps HR and leaders collect feedback throughout the employee journey. That feedback is transformed into people analytics that boost productivity, engagement, and retention.
Built on 25 years of experience, our 200 specialists in Amsterdam and Munich support more than 800 organizations across 70+ countries. Now more than ever, HR is an integral part of business strategy which is why our feedback technology is tailor-made for strategic HR.
Effectory&rsquo;s mission
We are dedicated to improving the working world by giving employees a voice and ensuring their feedback creates real impact.
Our experts work with HR teams and leaders worldwide to overcome some of their biggest people-oriented challenges. From software engineers to HR specialists, every day we work to improve the working world and we&rsquo;re looking for talented people who want to be part of that mission.
This is what we offer<ul><li>
25days leave on a fulltime basis</li><li>
4 &ldquo;cool down days&rdquo;(additional company wide days off a year, where the entire office is closed)</li><li>
The option to purchase extra holidays</li><li>
Your birthday off</li><li>
A day off to move house</li><li>
A volunteer day off to support something you care about</li><li>
Full additional parental leave for partners</li><li>
Flexible working hours from 7am &ndash; 7pm</li><li>
A sabbatical once every 5 years</li><li>
Working from abroad option for up to 4 months</li><li>
A great lunch (hot &amp; cold vegetarian, meat and vegetarian options) at the office, made by our in house chef</li><li>
A week of fun and interactive onboarding to get to know Effectory and your new colleagues</li><li>
A learning budget for personal development + extensive internal development opportunities</li><li>
Budget to set up your home office</li><li>
Additional monthly compensation for working from home</li><li>
Pension</li><li>
Access to financial advice</li><li>
Annual Body &amp; Mind budget for anything that energizes or relaxes you</li><li>
Yearly Summer School &amp; Winter School</li><li>
Annual events: Winter Party, Summer Party &amp; the legendary Big Day</li></ul>
This is how it works<ul><li>
You want this job: submit your application via the link below</li><li>
We are intrigued: join a phone call to introduce yourself and ask questions</li><li>
It feels like a match: we meet live (or via video) to get to know each other better</li><li>
We like each other even more: meet potential team members for a friendly deep-dive</li><li>
We want to see you in action: complete a case/assessment (if applicable)</li><li>
The final step: we agree on terms, sign&hellip; and you start!</li></ul></div>

Data Lead

Precision AQ

Databricks

<div>CSQ327R45
As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data &amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.
This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.
The impact you will have:
<ul><li>Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration</li>
<li>Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer</li>
<li>Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.</li>
<li>Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.</li>
<li>Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.</li>
<li>Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.</li>
<li>Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.</li>
<li>Reusable Assets &amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.</li>
</ul>What we look for:
<ul><li>Extensive experience in data engineering, data platforms &amp; analytics, or software engineering</li>
<li>Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks</li>
<li>Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one</li>
<li>Deep experience with distributed computing with Apache Spark&trade; and knowledge of Spark runtime internals</li>
<li>Familiarity with CI/CD for production deployments</li>
<li>Working knowledge of MLOps, ML/AI models and AI APIs</li>
<li>Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.</li>
<li>Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.</li>
<li>Documentation and white-boarding skills.</li>
<li>Experience working with enterprise clients and managing conflicts across a broad stakeholder range</li>
<li>Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.</li>
<li>Travel to customers 20% of the time</li>
<li>Databricks Certification</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>

Forward Deployed Engineer

Explore 234+ Data engineering lead in Amsterdam this July. Find roles across top companies and apply now to boost your career.

234 data engineering lead jobs In Amsterdam

MarTech Data Engineering Lead (m/w/d)

Engineering Director

Engineering Director

Machine learning Engineer

Data Lead

Engineering Director

Forward Deployed Engineer