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(senior) data engineer (gn)

ai & analytics engineer

data analytics engineer

LimeFlight

<div><p>Join our fully remote, mission-driven team dedicated to pioneering <b>sustainable inflight service management</b>. Work on innovative technology solutions with global impact, collaborate within a diverse, international environment, and continuously enhance your skills through ongoing learning opportunities.</p><p></p><p>
Headquartered in Zurich, Switzerland with team members across 11 countries, we offer a dynamic and engaging company culture that celebrates creativity, collaboration, and inclusion.
</p><h4 class="jobSectionHeader"><b>About the role</b></h4><p>
We are hiring a <b>Senior Data &amp; Analytics Engineer</b> to take <b>end-to-end ownership of our data platform and BI layer</b>.</p><p></p><p>
We are on a mission to contribute to a <b>zero-waste future</b> by drastically reducing food waste, fuel consumption, costs, and most importantly, <b>CO₂ emissions</b> in the airline industry. Every role in our company is a direct contributor to this vision - and as a <b>Senior Data &amp; Analytics Engineer</b> you will be at the forefront of turning data into meaningful insights, empowering our customers to effectively use them and drive real impact.</p><p></p><p>
You will evolve a vendor-built BI solution into a <b>modern, product-grade data platform</b> and ensure that data is transformed into <b>scalable, trusted, and actionable insights</b> for both our customers and internal teams. You&rsquo;re not just building dashboards, you&rsquo;re enabling better decisions and measurable impact.</p><p></p><p>
This role combines:</p><ul><li><b>
Data Engineering</b> (pipelines, processing, customer facing exports, platform)</li><li><b>
Analytics Engineering</b> (modeling, KPIs, semantic layer)</li><li><b>
Data Product Ownership</b> (customer impact, insight generation)</li></ul><h4 class="jobSectionHeader"><b>
What You&rsquo;ll Own</b></h4><p><b>
Platform, Architecture &amp; Pipelines</b></p><p>
Own the end-to-end data platform (<b>Databricks </b>and <b>Microsoft Fabric</b>)</p><ul><li>
Design and operate scalable pipelines and lakehouse architecture</li><li>
Build scalable ETL/ELT workflows and manage batch/near real-time processing</li><li>
Ensure data quality, reliability, observability, and performance</li><li>
Define standards, data contracts, and architecture principles (clean, modular, scalable data platform)</li><li>
Optimize cost (e.g. Databricks jobs) and workload distribution across platforms</li></ul><p><b>
Data Modeling &amp; Semantic Layer</b></p><ul><li>
Own <b>Power BI </b>semantic models and KPIs</li><li>
Build clean, scalable dimensional models (star schema)</li><li>
Ensure performance and consistency of DAX, aggregations, and dataset refresh</li></ul><p><b>
Customer-Facing Analytics</b></p><ul><li>
Build and maintain customer-facing dashboards and embedded analytics</li><li>
Ensure consistent and trusted metrics across all outputs</li><li>
Enable self-service analytics with governance</li><li>
Maintain and monitor customer facing exports</li></ul><p><b>
Data as Product</b></p><ul><li>
Translate business and customer needs into scalable data solutions</li><li>
Define KPIs and reporting standards with Product</li><li>
Proactively build insights and identify opportunities to create additional customer value</li><li>
Drive measurable customer and business impact</li></ul><p><b>
Platform Quality, Operations, Security &amp; Governance</b></p><ul><li>
Build necessary validation scripts, unit tests, data quality checks</li><li>
Implement CI/CD, testing, and versioning for pipelines and BI</li><li>
Support multi-tenant architecture, security, and governance</li><li>
Implement monitoring and alerting (pipelines, refreshes)</li></ul><p><b>
Migration &amp; Insourcing (Initial Focus)</b></p><ul><li>
Take ownership of a vendor-built BI solution</li><li>
Reverse-engineer pipelines, logic, and reports</li><li>
Reduce technical debt and rebuild toward a clean architecture</li></ul><h4 class="jobSectionHeader"><b>
What We&rsquo;re Looking For</b></h4><p><b>
Experience</b></p><ul><li>
5+ years in data engineering / analytics engineering for customer-facing BI products</li><li>
Experience in SaaS or product-driven environments</li><li>
Proven track record building scalable data platforms and customer-facing analytics</li></ul><p><b>
Technical &amp; Platform Skills</b></p><ul><li>
Strong experience with:<ul><li>
Databricks (Spark / PySpark, Delta Lake)</li><li>
Microsoft Fabric or Azure data stack</li><li>
Power BI (data modeling, DAX, performance)</li></ul></li><li>
Advanced SQL and dimensional modeling (Kimball) expertise</li><li>
Lakehouse architecture &amp; ETL/ELT design</li><li>
Multi-tenant data models &amp; embedded analytics</li></ul><p><b>
Engineering Practices</b></p><ul><li>
CI/CD for data pipelines and BI assets</li><li>
Write reusable, modular, maintainable and testable code.</li><li>
Monitoring and data quality practices</li><li>
Version control (e.g., Git)</li></ul><p><b>
Nice-to-have</b></p><ul><li>
Azure infrastructure knowledge (IAM, networking)</li><li>
Data quality/testing frameworks (e.g., Great Expectations)</li></ul><p><b>
Mindset</b></p><ul><li>
Strong ownership and autonomy: You take full ownership of outcomes, not just tasks</li><li>
Impact-driven: You focus on real-world results and have strong intuition for identifying patterns, anomalies, and optimization opportunities</li><li>
Product thinker: You connect data to user value and turn raw data into clear, actionable insights</li><li>
Proactive: You proactively identify opportunities, validate ideas, and build reports, dashboards, and analyses without waiting for requirements.</li></ul><ul><li>
Domain expert: You understand business contexts quickly and translate problems into effective data solutions.</li><li>
Pragmatic: You prioritize simplicity and avoid overengineering, focusing on what delivers value.</li><li>
Clear communicator: You communicate effectively across technical and business stakeholders, making complex topics easy to understand.</li></ul><h4 class="jobSectionHeader"><b>
Language</b></h4><p>
Min. English C1</p><h4 class="jobSectionHeader"><b>
Expected travel needs</b></h4><p>
2 annual one-week team events</p><h4 class="jobSectionHeader"><b>
Our Tech Stack</b></h4><ul><li>
C# (.NET 8&ndash;10), ASP.NET Core, Entity Framework Core</li><li>
Microsoft SQL Server, Azure Blob Storage</li><li>
Azure App Services &amp; Functions, Docker</li><li>
Azure Service Bus, Terraform</li><li>
GitHub Actions, SonarQube, extensive unit &amp; integration tests</li><li>
Angular Latest Version</li><li>
Databricks and Azure Fabric</li></ul><h4 class="jobSectionHeader"><b>
Hiring Process</b></h4><ul><li>
Recruiter Screen (45 mins)</li><li>
Interview with the Hiring Manager (1 hour)</li><li>
Technical interview (1 hour)</li><li>
Discussion with founder(s) and peer(s) (1 hour)</li></ul><p><b><br>
LimeFlight is proud to be an equal opportunity employer.</b></p><p>
We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work.</p><p></p><p>
Join us and be part of a team committed to shaping a zero-waste future for aviation, where your ideas and passion truly matter.</p><p></p><p>
Let&rsquo;s talk!</p></div>

Senior Data & Analytics Engineer (Europe, 100% remote)

adsquare GmbH

<div><div>Berlin</div><div>
Full-time</div><div>
Permanent employee</div><div>
60,000 - 75,000 &euro; per year</div></div>
<br><div><div><h2 class="jobSectionHeader"><b>Intro</b></h2><div><div>
At Adsquare, our mission is driven by our core focus: <b>Passion</b> &ndash; Solving complex challenges with great people, tech, and data. <b>Niche</b> &ndash; Location Intelligence for Programmatic Advertisers. Our core values are integral to everything we do:</div><ul><li><div><b><br>
Drive:</b> We turn ambition into action.</div></li><li><div><b>
Resilience:</b> We adapt, persevere, and grow stronger.</div></li><li><div><b>
No BS:</b> We value honesty, transparency, and clear communication.</div></li><li><div><b>
Humble:</b> We choose modesty over vanity and let results speak for themselves.</div></li><li><p><b>
Moral Compass:</b> We do the right thing with fairness, integrity, and respect.</p></li></ul><div>
We seek candidates who not only bring excellent technical expertise but also embody these values in every aspect of their work.</div></div></div><div><h2 class="jobSectionHeader"><b>
Your Mission</b></h2><div><div><b>
Key Responsibilities</b></div><ul><li><div><b><br>
Pipeline Engineering:</b> Build, deploy, and maintain robust transformation pipelines for high-volume data. You will participate in the full lifecycle: ingestion, transformation, <b>testing (unit/integration)</b>, deployment, and monitoring.</div></li><li><div><b>
Optimization &amp; Maintenance:</b> Write highly efficient code and collaborate with the team to refactor legacy systems, helping to improve performance and reduce cloud compute costs (e.g., optimizing Athena/Snowflake/Redshift clustering or AWS Glue jobs).</div></li><li><div><b>
Software Engineering Best Practices:</b> Adhere to and promote the team's technical standards by actively utilizing CI/CD workflows, containerization (Docker), and automated testing.</div></li><li><div><b>
Data Quality &amp; Observability:</b> Focus on infrastructure monitoring rather than just business dashboards. You will implement alerts and checks (e.g., dbt tests, Great Expectations) to catch data quality issues before they reach stakeholders.</div></li><li><p><b>
Collaboration &amp; Growth:</b> Work closely with Senior Engineers to plan architectures, participate actively in code reviews, and advocate for engineering rigor within the squad.</p></li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Your Profile</b></h2><div><div>
We are looking for a <b>Data Analytics Engineer</b> who approaches data with a software engineering mindset. You will join our Data Solutions squad to build and maintain production-grade data platforms.</div><div><b>
This is not a Data Analyst role.</b> While you will understand the business context, your primary focus is technical: building scalable workflows, writing clean and testable Python/SQL code, automating deployments, and supporting cloud infrastructure optimizations. You will ensure our pipelines remain reliable, cost-effective, and maintainable.</div><div>
We are looking for a candidate who has solid analytics engineering experience or a strong background in backend development focused on data.</div><div><b><br>
Must-Have Skills</b></div><ul><li><div><b><br>
2+ years of experience specifically in Analytics Engineering or Data Engineering</b>.</div></li><li><div><b>
Solid Python proficiency:</b> You write modular, object-oriented code, utilize relevant libraries for testing, and understand exception handling and logging.</div></li><li><div><b>
Strong skills in SQL &amp; dbt:</b> You can build scalable data models (Jinja templating, macros, incremental strategies) and understand query execution plans.</div></li><li><div><b>
Software Engineering Fundamentals:</b> Hands-on experience with <b>Git flows, CI/CD pipelines (e.g., GitHub Actions, GitLab CI)</b>, and <b>Containerization (Docker)</b>.</div></li><li><div><b>
AWS Cloud Native Experience:</b> Experience building and maintaining data workflows using serverless architectures such <b>AWS Lambda, StepFunctions, Glue, and Athena</b>.</div></li><li><div><b>
Testing Mindset:</b> Experience implementing <b>Unit Tests and Integration Tests</b> for data pipelines rather than relying solely on manual checks.</div></li><li><p><b>
Data Warehouse Ops:</b> Solid understanding of warehousing architecture (Snowflake, Redshift, or BigQuery), including partitioning and clustering concepts.</p></li></ul></div></div><div><h2 class="jobSectionHeader"><b><br>
Nice to Have
</b></h2><div><ul><li><div>Experience with <b>Infrastructure as Code (Terraform)</b> to manage cloud resources.</div></li><li><div>
Experience with orchestration tools like <b>Airflow, Dagster, or Prefect</b>.</div></li><li><div>
Knowledge of big data processing frameworks (Spark/PySpark).</div></li><li><div>
Experience with agentic coding CLI or IDE tools for more efficient planning, architecting and implementation of features.</div></li><li><div>
Familiarity with dashboarding tools (Streamlit, Preset, Tableau, etc.) &ndash; <i>Note: This is helpful for debugging and monitoring, but not the core function of the role</i>.</div></li><li><p>
B.S. or M.S. in Computer Science, Engineering, Mathematics or other relevant fields.</p></li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Why us?
</b></h2><div><div>On top of a competitive package&hellip;</div><ul><li><div><br>
We are open to flexible work models: we work in a hybrid mode and remotely from anywhere in the world up to 3 months per year.</div></li><li><div>
To encourage education and professional growth, we offer an individual yearly budget of 1.200&euro;.</div></li><li><div>
You are entitled to 30 vacation days per year.</div></li><li><div>
We offer Urban Sports Club membership, company pension scheme.</div></li><li><div>
Regular team events and company events organised by our People team (Trust us, they know how to throw a party!).</div></li><li><p>
We equip you with the latest hardware and provide you with all the tools you need to thrive.</p></li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Salary Range (Annual On-Target Earnings)</b></h2><div>
60,000 - 75,000 euros</div></div><div><h2 class="jobSectionHeader"><b>
Recruiting Process</b></h2><div><div>
For technical roles (Data, Engineering, and Product), candidates are encouraged to upload any technical certifications referenced in their CV via the &quot;Other Documents&quot; section of the application form.<br>
Alternatively, certification documents may be submitted after the first technical interview. Any certifications listed on the CV must be provided and successfully validated before proceeding to the second technical interview stage.</div><ul><li><div><b><br>
Step 1:</b> Value-based interview (30 mins).</div></li><li><div><b>
Step 2:</b> Deep-dive technical interview (1.5 hours) with the Data team.</div></li><li><div><b>
Step 3:</b> Practical data-crunching challenge.</div></li><li><p><b>
Step 4:</b> Team Meet &amp; Greet &mdash; the final step to ensure we're a great fit for each other.</p></li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Work model</b></h2><div>
Hybrid</div></div><div><h2 class="jobSectionHeader"><b>
Desired start date</b></h2><div>
As soon as possible</div></div></div>
<br><div><h2 class="jobSectionHeader"><b>About us</b></h2><div><p>
Adsquare is the global audience &amp; location intelligence company making marketing a whole lot smarter.<br>
<br>
With eight offices around the world we are a truly international company but one united team working towards our vision: empowering companies to accelerate business growth by staying at the forefront of data-driven marketing.</p>
We are pioneers in advertising and data. We were born mobile, before it was a necessity, and have pioneered data-driven advertising in display and now DOOH. We have the smartest people, working with the best tech, so we can drive the pace of change.<br>
<br>
We are visionaries. We see a better way for marketers and are doing everything we can to make that a reality. We believe in innovation and the power of technology. We believe in constantly improving what we&rsquo;re doing because the work is never done.<br>
<br>
We believe in what we do and rise to meet our own high standards. If there&rsquo;s a problem, we fix it, humbly and without fuss or delay. Although our technology is best-of-breed, we are unassuming and modest in our approach.<br>
<br>
We are passionately candid, both with each other and with our clients. We take the time to explain our approach to their problem, confident there is nothing to hide.<br>
<br>
We are consistent and true to our word. We don&rsquo;t take shortcuts but focus on being our clients&rsquo; most reliable partner. We make promises - and we keep them. As a result, clients enjoy spending time with us, because we are good people.</div></div>

Data Analytics Engineer (m/f/d)

Staffbase

<div><div><h3 class="jobSectionHeader"><b>About Staffbase</b></h3>
<p>
We inspire people to achieve great things together. Our mission is to help organizations unlock the power of inspirational communication with the first <b>AI-native Employee Experience Platform</b>. Our<b> industry-leading and award-winning agentic AI communications channels</b> - intranet, employee app and email solutions - create engaging experiences that connect and empower employees.</p>
<p>
Headquartered in Chemnitz, Germany and New York City, with offices in Berlin, London, Sydney, Tokyo, Prague, and Minneapolis&ndash;St. Paul, our diverse team of 750+ employees supports 2,000+ customers&mdash;reaching over 16.4 million employees&mdash;in transforming their employee experience.<br>
We are proud to be a <b>Unicorn</b> company&mdash;privately valued at over $1 billion&mdash;demonstrating strong growth, innovation, and lasting impact in our industry. Together, we're shaping the future of workplace communication.</p></div><p>
As a Staff Engineer in our Data &amp; Analytics team, you will drive the technical direction of our data platform and analytics capabilities. This is a hybrid role combining hands-on technical leadership with people leadership. You will work closely with the Director of Engineering and cross-functional stakeholders to advance our data infrastructure and lay the foundations for AI-powered product features.</p>
<h2 class="jobSectionHeader"><b>
Our environment</b></h2>
<ul><li>Work alongside skilled, data-passionate engineers in a team that values collaboration</li>
<li>A flexible, agile environment with a strong focus on work-life balance</li>
<li>You will have real ownership and influence over data architecture</li>
<li>We are building toward a distributed, self-service data platform model &ndash; you will help shape how that evolves.</li>
<li>Data is a strategic asset at Staffbase: valued, actively growing, and directly enabling our AI product roadmap.</li>
</ul><h2 class="jobSectionHeader"><b>What you'll be doing</b></h2>
<ul><li>Drive the technical direction of our data platform &ndash; leading architecture decisions, sequencing, and delivery in collaboration with Engineering, Product, and Design stakeholders</li>
<li>Support and develop a team of 4&ndash;5 engineers: providing technical mentorship, unblocking delivery, and helping build a product-minded engineering culture.</li>
<li>Own and evolve the data infrastructure: data lake, data foundations, semantic layer, and data governance &ndash; building a solid base for AI and analytics features</li>
<li>Lead streaming adoption across the team, bringing hands-on expertise to an area the team is actively developing</li>
<li>Apply and advance strong data modeling practices across the platform.</li>
<li>Prioritize and mediate effectively with product stakeholders &ndash; advocating for the right technical decisions and sequencing of work</li>
<li>Contribute to the evolution of our self-service data platform approach, driving the cultural and technical shift toward distributed data ownership</li>
<li>Collaborate across the broader staff engineering community on cross-cutting architectural decisions</li>
</ul><h2 class="jobSectionHeader"><b>What you need to be successful</b></h2>
<ul><li>Proven experience at Staff Engineer level or equivalent in a data engineering context</li>
<li>Strong architectural understanding of data platforms: data lakes, data foundations, data governance, and orchestration.</li>
<li>Experience with streaming technologies (e.g. Kafka) &ndash; hands-on exposure is a strong plus</li>
<li>Solid data modeling skills and the ability to raise this as a team-wide standard.</li>
<li>Experience working with large-scale datasets commensurate with a sizeable B2B SaaS customer base.</li>
<li>Python proficiency and comfortable working across a modern data stack</li>
<li>Strong stakeholder management and communication skills &ndash; you are comfortable pushing back, negotiating roadmaps, and finding constructive compromises with product teams</li>
<li>A product-minded engineering mindset: able to balance technical rigour with pragmatic prioritization.</li>
<li>Leadership experience or ambition: you are comfortable guiding engineers and driving delivery</li>
</ul><h2 class="jobSectionHeader"><b>Nice to have</b></h2>
<ul><li>Experience with data governance for AI agents &ndash; understanding guardrails, access control, and safety considerations for agentic analytics.</li>
<li>Prior exposure to self-service data platform models and distributed data ownership strategies.</li>
<li>Experience in a product-led SaaS environment.</li>
</ul>
<p><b>What you'll get</b></p>
<ul>
<li><i>Competitive Compensation</i> - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan)</li>
<li><i>Flexibility </i>- we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of &euro;1560</li>
<li><i>Recharge</i> - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August</li>
<li><i>Support</i><b> </b>-<b> </b>we offer offering a company pension scheme</li>
<li><i>Volunteers Day</i><b> </b>- you'll get one day off per year for supporting a social project</li></ul></div><div></div>

Staff Engineer, Data & Analytics

wolt

<div><div><h2 class="jobSectionHeader"><b>About Wolt</b></h2>
<p>
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.<br>
<br>
Working at Wolt isn't always easy, but it's definitely exciting. Here you'll learn more, build more, and ship more than in most other companies. You'll be challenged a lot, but also have a lot of fun on the way. So, if you're a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.</p></div><p>
Analytics at Wolt is a business-critical area that covers three different teams &mdash; data science, regional business operations, and analytics engineering. The complexity of online delivery, differences in the economics and dynamics of the cities we operate in, and vast amounts of data make our work truly interesting!</p>
<p>
Now we are looking for an experienced <b>Senior Analytics Engineer</b> to join our <b>Merchant Analytics Engineering</b> team. You can work in <b>Berlin, Helsinki, or Stockholm</b>.</p>
<h2 class="jobSectionHeader"><b>
About the role</b></h2>
<p>
The role is focused on the business needs - you'll be working within a cross-functional team, making sure your teammates get the insights needed for their operations. The role requires interpreting the needs and requests of our internal stakeholders from business and product, and transforming them into actionable data. Data scientists working in the domain will be your closest partners in your day-to-day work, as your solutions will enable them to create relevant experiments, a/b tests, and analyses.</p>
<h3 class="jobSectionHeader"><b>
Your daily work will include</b></h3>
<ul><li>Developing reporting and metrics quality as a whole, from understanding the needs of the business to providing easily understandable and actionable data.</li>
<li>Working on our centrally maintained data integrations and data pipelines powering our Data Warehouse, our data models, and dashboards. You'll get to utilize our modern tech stack as part of your work (Snowflake, SQL, Looker, Wolt Inhouse ETL, Airflow, Dagster, Github).</li>
<li>Design and implement complex data pipelines with dependency control, orchestration and auto-materialisation logic.</li>
<li>Develop a self-service data modelling strategy and partner with Analytics and other stakeholders for implementation.</li>
<li>Increase data literacy across the domain and expertise through hands-on training and documentation.</li>
<li>Lead, mentor, and guide more junior team members.</li>
</ul><h2 class="jobSectionHeader"><b>Our humble expectations</b></h2>
<ul><li><b>5+ years of experience </b>working as an Analytics Engineer or BI Developer.</li>
<li>Strong hands-on experience with <b>data integrations, data pipelines, data models, metric development, and dashboards</b>.</li>
<li>Tech skills: <b>Snowflake, SQL, Airflow, DBT, Looker,</b> or other visualization tools like Tableau, Power BI, etc.</li>
<li><b>Advanced SQL skills</b> and ability to write optimized queries for large data sets.</li>
<li><b>Strong business acumen and product-oriented thinking</b> with significant experience in the design and implementation of analytics and reporting data models.</li>
</ul><h2 class="jobSectionHeader"><b>What we offer</b></h2>
<ul><li>The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics.</li>
You can choose the location from our tech hubs in Berlin, Helsinki, and Stockholm. You have the chance to decide the ways of working &mdash; a hybrid, at the office, or remote within the location above.
<li>You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don't learn, we won't stay still but fall behind and keep in mind that Luke was Yoda's greatest achievement.</li>
</ul><h2 class="jobSectionHeader"><b>Next steps</b></h2>
<p>
The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us!</p>
<p>
For any further questions about the position, you can turn to Product+ Talent Acquisition Partner - Zhanna Filintseva via zhanna.filintseva@wolt.com</p>
<p></p><div><h2 class="jobSectionHeader"><b>
Our Commitment to Diversity and Inclusion</b></h2>
<p>
We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.</p></div></div>

Senior Analytics Engineer, Merchant

Future Energy Services GmbH

<div><h1 class="jobSectionHeader"><b>Senior Data Engineer</b></h1><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
About trawa</b></h2><div></div><p><br>
European energy costs are twice as high as in the United States and China. Electricity demand is expected to double by 2050. Market price volatility and complexity are here to stay - and the backbone of Europe's industrial economy is at risk.</p><div></div><p><br>
At trawa, we're building the solution: an integrated B2B energy platform combining procurement, energy management, and flexibility steering in a single product. That integration unlocks up to 30% in recurring electricity cost savings while helping companies make the switch to renewables.</p><div></div><p><br>
We're a Berlin-based scale-up of around 100 people. We've raised over &euro;35M to date - including a &euro;24M Series A in May 2025 - backed by Balderton, Headline, Speedinvest, AENU, Magnetic, and Tiny VC. All three founders are fully committed to building the utility of the future.</p><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
The Team</b></h2><div></div><p><b><br>
Data Intelligence (DINTEL)</b> is an engineering team that owns trawa's data pipelines, and analytics infrastructure. We manage the full data lifecycle - from ingesting raw metering and market data, to invoicing and self-service analytics.</p><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
About the Role</b></h2><div></div><p><br>
We're looking for a <b>Senior Data Engineer</b> to own and lead the development, reliability, and continuous evolution of our data platform. This is a high-ownership, high-autonomy role. You'll work across production systems at scale - defining technical direction, coordinating cross-team dependencies, and driving measurable impact across data engineering, analytics infrastructure, and operational tooling.</p><p>
You'll mentor teammates and be supported by experienced engineering leaders as you continue to grow your own leadership and technical skills.<br>
<br>
This role follows a hybrid working model. We expect team members to spend around 2-3 days per week in our Berlin office. There are no fixed office days and we don't monitor attendance strictly, but regular in-person collaboration is an important part of how we work.</p><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
What You'll Do</b></h2><div></div><ul><li><p><br>
Lead the design, implementation, and operation of critical data pipelines and platform infrastructure on AWS</p></li><li><p>
Define and evolve data quality standards, observability practices, and operational controls across the platform</p></li><li><p>
Lead cross-team technical discussions and help align stakeholders on data platform architecture decisions</p></li><li><p>
Deliver large-scale technical initiatives end-to-end, from design through delivery, collaborating with teams across the business</p></li><li><p>
Shape the team's technical culture through code reviews, mentorship, knowledge sharing, and documentation</p></li><li><p>
Evolve our analytics and BI tooling (ClickHouse, Metabase) to support business intelligence and decision-making</p></li><li><p>
Build and maintain data pipelines using Python (pandas, polars), dbt, and dlt</p></li><li><p>
Identify and address technical debt, improving platform reliability, scalability, and developer experience</p></li><li><p>
Communicate the value and impact of platform improvements to engineering and business stakeholders</p></li><li><p>
Diagnose and resolve complex data and performance challenges across multiple systems and services</p></li></ul><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
Your First 90 Days</b></h2><div>
</div><h3 class="jobSectionHeader"><b>
First 6 Weeks - Getting Oriented</b></h3><ul><li><p>
Build context across the data platform, including AWS, dbt, dlt, PostgreSQL, ClickHouse, and Python services</p></li><li><p>
Begin contributing to production systems and taking ownership of key platform components</p></li><li><p>
Build relationships with engineers and stakeholders across the business to understand data needs, priorities, and opportunities for improvement</p></li></ul><h3 class="jobSectionHeader"><b>
By Month 3 - Building Momentum</b></h3><ul><li><p>
Take ownership of significant platform components and drive improvements with growing independence</p></li><li><p>
Begin leading a cross-team initiative with support from your manager and teammates, helping align stakeholders around a clear plan</p></li><li><p>
Identify and begin implementing a meaningful improvement to platform reliability, observability, or scalability</p></li></ul><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
What You'll Gain</b></h2><div></div><ul><li><p><br>
Ownership of a production data platform that directly powers trawa's energy trading, invoicing, and analytics</p></li><li><p>
The opportunity to work closely with engineering and business stakeholders on high-impact initiatives with company-wide visibility</p></li><li><p>
A chance to shape technical culture and contribute to the evolution of engineering practices across the Data Intelligence team</p></li><li><p>
Deep expertise across a modern data stack, including AWS, Python (pandas, polars, FastAPI), dbt, dlt, PostgreSQL, ClickHouse, and Metabase</p></li><li><p>
Support in growing your technical and leadership skills, with a clear progression framework and meaningful opportunities for advancement</p></li></ul><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
What We're Looking For</b></h2><p><br>
We know that great candidates don't always match every requirement. If you're excited about the role and believe you can contribute to our mission, we'd love to hear from you, even if your experience doesn't perfectly align with every qualification listed.</p><h2 class="jobSectionHeader"><b><br>
Core Requirements</b></h2><ul><li><p>
5+ years of experience in data engineering or a related field</p></li><li><p>
Strong SQL and Python skills</p></li><li><p>
Experience building and operating production data systems</p></li><li><p>
Experience collaborating across teams to deliver technical projects</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Nice to have</b></h2><div></div><ul><li><p><br>
Hands-on experience with parts of our stack, including dbt, dlt, ClickHouse, PostgreSQL, Metabase, or AWS</p></li><li><p>
Experience with workflow orchestration tools such as Airflow</p></li><li><p>
Familiarity with energy markets, time-series data, or operational data platforms</p></li><li><p>
Experience in a technical leadership role</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What Helps You Succeed Here</b></h2><ul><li><p>
Experience designing scalable and reliable data systems</p></li><li><p>
Enjoy mentoring and supporting the growth of teammates</p></li><li><p>
Comfort navigating ambiguity and helping bring clarity to complex problems</p></li><li><p>
Strong communication and stakeholder-management skills</p></li></ul><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
Why Join Us</b></h2><div></div><p><br>
<b>Real impact</b> - Join one of Europe's fastest-growing B2B energy platforms at a pivotal moment. Your work will directly support systems that help industrial companies cut costs and go green.</p><div></div><p><br>
<b>Early ownership</b> - We give team members responsibility from day one. You won't be shadowing - you'll be shipping.</p><div></div><p><br>
<b>Mentorship that matters</b> - Regular leadership sessions, cross-functional exposure, and engineers who are genuinely invested in your growth.</p><div></div><p><br>
<b>Learning culture</b> - Annual learning budget, dedicated development time, and a team that takes knowledge-sharing seriously.</p><div></div><p><br>
<b>Inclusive by design</b> - 15+ nationalities, family-friendly policies, and a genuine commitment to building a place where everyone can do their best work.</p><div></div><p><br>
<b>Solid benefits</b> - A competitive package covering wellbeing, learning, and team experiences.</p></div>

Senior Data Engineer

Helios Kliniken GmbH

<div>
 Ihre guten Ideen finden endlich Geh&ouml;r! Wir sind der Motor f&uuml;r eine schnelle und pragmatische Umsetzung zum Wohle unserer Patient:innen.
 <br/>
 <br/>
 Verst&auml;rken Sie zum n&auml;chstm&ouml;glichen Zeitpunkt unseren
 <strong>
  Bereich Data &amp; AI - Medical Data Engineering &amp; Analytics
 </strong>
 in der Helios IT Service GmbH als
 <br/>
 <br/>
 <strong>
  Junior/Intermediate/Senior Data Engineer (m/w/d)
  <br/>
  <br/>
 </strong>
 in Vollzeit mit Dienstsitz in Berlin-Buch.
 <br/>
 <br/>
 Das erwartet Sie
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Sie verantworten das Design, die Entwicklung und die Wartung robuster End-to-End-Datenpipelines f&uuml;r gro&szlig;e Datenmengen und machen diese im medizinischen Kontext nutzbar
  </li>
  <li>
   Sie arbeiten eng mit Data Scientists, Fachexpert:innen und klinischen Stakeholdern zusammen, um heterogene Krankenhausdaten zu integrieren und in verwertbare Datenprodukte zu &uuml;berf&uuml;hren
  </li>
  <li>
   Sie stellen Datenqualit&auml;t, Reproduzierbarkeit und Nachvollziehbarkeit durch automatisierte Validierungs- und Testkonzepte sicher
  </li>
  <li>
   Sie nutzen moderne DevOps-Praktiken (Git, CI/CD, automatisiertes Testing) zur Sicherstellung robuster, wartbarer Datenprozesse
  </li>
  <li>
   Sie haben die M&ouml;glichkeit, neue Technologien wie Delta Lake, Apache Iceberg oder MLflow aktiv zu evaluieren und in bestehende Dateninfrastrukturen zu integrieren
  </li>
  <li>
   Sie wirken an der Weiterentwicklung von Architekturstandards und Best Practices in einem regulierten, sicherheitskritischen Umfeld mit
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Das bringen Sie mit
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Abgeschlossenes Studium der Informatik, Ingenieurwesen, Mathematik, Statistik oder eine vergleichbare Qualifikation mit einschl&auml;giger Berufserfahrung
  </li>
  <li>
   Fundierte Kenntnisse in Python und SQL sowie Erfahrung mit g&auml;ngigen Frameworks zur Datenverarbeitung &ndash; idealerweise Apache Spark/PySpark &ndash; und in der Entwicklung und Einf&uuml;hrung von ETL/ELT-Pipelines
  </li>
  <li>
   Erfahrung im Umgang mit strukturierten und unstrukturierten Daten aus heterogenen Quellen sowie in der Entwicklung von Skripten und Tools f&uuml;r effiziente Datenverarbeitung
  </li>
  <li>
   Praxis mit Versionskontrolle (Git), CI/CD-Prozessen und agiler Projektarbeit; eine strukturierte, eigenverantwortliche Arbeitsweise ist f&uuml;r Sie selbstverst&auml;ndlich
  </li>
  <li>
   Begeisterung f&uuml;r neue Methoden und Technologien im Data-Engineering- und Data-Science-Umfeld sowie die Motivation, sich kontinuierlich weiterzuentwickeln und idealerweise bereits erste Erfahrungen mit Cloud Technologien
  </li>
  <li>
   Gesetzlich notwendiger Nachweis &uuml;ber Immunisierung gegen Masern
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Freuen Sie sich auf
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Wir bieten eine abwechslungsreiche und anspruchsvolle T&auml;tigkeit im spannenden und zukunftsorientierten Umfeld der Digitalisierung
  </li>
  <li>
   Die Helios PlusCard: Eine durch Helios finanzierte Zusatzversicherung mit u. a. Wahlarztbehandlung bzw. Wahl&auml;rztinbehandlung im Falle eines Krankenhausaufenthalts in einer unserer Akutkliniken
  </li>
  <li>
   Wir bieten die Chance, umweltfreundlich zur Arbeit zu kommen &ndash; mit einem Arbeitgeberzuschuss zum Deutschlandticket
  </li>
  <li>
   Rabatte f&uuml;r &uuml;ber 480 Topmarken und Pr&auml;ventionsprogramme, z.B. Verg&uuml;nstigungen bei Sportstudios
  </li>
  <li>
   Wir arbeiten in flachen Hierarchien, sch&auml;tzen kurze Entscheidungswege, bieten flexible Arbeitszeitmodelle und eine attraktive Verg&uuml;tung
  </li>
  <li>
   Wir unterst&uuml;tzen bei Ihrer fachlichen und pers&ouml;nlichen Weiterentwicklung
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Jetzt liegt es nur noch an Ihnen!
 <br/>
 <br/>
 Kontakt
 <br/>
 <br/>
 Helios ist der f&uuml;hrende Kliniktr&auml;ger in Europa. Die kollegiale und fach&uuml;bergreifende Zusammenarbeit und die schnelle Umsetzung von Innovationen garantieren unseren Patient:innen eine bestm&ouml;gliche Versorgung. Auf diese Weise entsteht ein einzigartiger Raum f&uuml;r Ihre Kenntnisse, Talente, Ideen und Zukunftspl&auml;ne.
 <br/>
 <br/>
 Die Adresse Ihrer neuen Arbeitsstelle als
 <strong>
  Junior/Intermediate/Senior Data Engineer (m/w/d)
 </strong>
 lautet: Schwanebecker Chaussee 50 in 13125 Berlin oder bundesweit.
 <br/>
 <br/>
 Wir freuen uns auf Ihre Bewerbung &uuml;ber unser Karriereportal.Chancengleichheit im Beruf ist uns wichtig.
 <br/>
 <br/>
 Deshalb ermutigen wir ausdr&uuml;cklich Menschen mit Behinderung, jeglicher geschlechtlichen Identit&auml;t und Herkunft sich zu bewerben.
 <br/>
 <br/>
 Peter Martens
 <br/>
 <br/>
 Teamleiter
 <br/>
 <br/>
 peter.martens[at]helios-gesundheit.de
</div>


Junior/Intermediate/Senior Data Engineer (m/w/d)

FUNKE Mediengruppe

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<br><br>
FUNKE gehört zu den führenden Arbeitgebern der Medienbranche. Von Online-Portalen über Zeitungen und Zeitschriften bis hin zu Radio und Podcast – die Vielfalt unserer Titel, Marken und Genres ist einzigartig in der deutschen Medienlandschaft. Genauso vielfältig sind auch die Talente unserer rund 1.700 Journalist*innen und 2.800 Medienmacher*innen, die jeden Tag in ganz Deutschland mit Leidenschaft und Innovationskraft die Zukunft der Medien mitgestalten. #wirsindFUNKE
<br><br>
<b>Standort:</b><br>
Berlin, DE Hamburg, DE
<br><br>
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<br><br>
Als Analytics Engineer (m/w/d) trägst Du maßgeblich zur Gestaltung unserer datengetriebenen Projekte bei und spielst eine Schlüsselrolle in unserem Team. Zur Verstärkung unseres Teams in Berlin oder Hamburg suchen wir Dich als
<br><br>
Analytics Engineer (m/w/d)
<br>DEINE AUFGABEN
<br>Als Mitglied des Data Subscription Teams bist Du verantwortlich für alles rund um das Thema Analytics Engineering: Transformation von Rohdaten zur Nutzung im Reporting und der Marketing Automation für unser Zeitungsgeschäft digital und traditionell
<br>Du arbeitest eng mit den Data Analysts/Scientists/Engineers Deines Teams zusammen und bringst Deine Expertise und kreativen Lösungen ein, um datenbasierte Optimierungsstrategien zu entwickeln
<br>Nach Deiner Einarbeitung wirst Du verantwortlich für zwei Topics und trägst damit entscheidend zu unserem Geschäftserfolg bei
<br>Du entwickelst und implementierst eigenständig Data Pipelines in der Google Cloud Platform und nutzt dbt, SQL, Github und andere Tools
<br>Als Expert*in im Datawarehouse kümmerst Du Dich auch um die Datenpflege, die Struktur der Datenmodelle sowie um die Kostenoptimierungen
<br>DEIN PROFIL
<br>Du hast eine Leidenschaft für Daten und Interesse am Vertriebsgeschäft regionaler Tageszeitungen
<br>Du besitzt Erfahrung als Analytics Engineer/Data Analyst sowie fortgeschrittene Kenntnisse in SQL und bringst idealerweise Kenntnisse in Python oder weiteren Programmiersprachen mit
<br>Deine Begeisterung für technische Innovationen und Deine ausgeprägte Fähigkeit, Dich zügig und effektiv in neue technologische Systeme und Tools einzuarbeiten, sind wesentliche Stärken, die Du in unser Team einbringst
<br>Auf Dich kann man sich verlassen, Du übernimmst gerne Verantwortung und Ownership ist für Dich nicht nur eine Floskel
<br>Du bringst neben fließendem Deutsch auch Offenheit, Kommunikationsstärke und Teamfähigkeit mit
<br>Eine sorgfältige Arbeitsweise und hohe Eigenmotivation runden Dein Profil ab
<br>DEINE BENEFITS
<br><b>Innovation trifft Tradition:</b> Du gestaltest die digitale Transformation unserer Mediengruppe mit
<br><b>Entwickle Dich mit uns:</b> Wir ermöglichen Dir die Teilnahme an individuellen Coachings, Workshops oder (Online)-Trainings im Rahmen unserer FUNKE Akademie
<br><b>Flexibel arbeiten:</b> Wir leben ein hybrides Arbeitsmodell, weil uns Deine Work-Life-Balance wichtig ist
<br><b>Teamwork:</b> Dich erwarten ein dynamisches Team, eine offene Feedbackkultur, kurze Kommunikationswege und ein herzliches Miteinander
<br><b>Corporate Benefits:</b> Wir bieten Dir ein Benefit-Portal mit attraktiven Rabatten und Abos
<br><b>Halte Dich fit und gesund:</b> Profitiere von unseren Kooperationen mit verschiedensten Fitnessstudios und lasse Dich für Deine mentale und körperliche Gesundheit individuell beraten
<br><br>
Haben wir Dein Interesse geweckt? Dann gestalte mit uns die Zukunft und sende uns Deine Bewerbung an Steffen Flach.
<br><br>
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Wir bei FUNKE schätzen Vielfalt und begrüßen daher alle Bewerbungen – unabhängig von Geschlecht / geschlechtlicher Identität, Nationalität, ethnischer oder sozialer Herkunft, Religion / Weltanschauung, Behinderung, Alter sowie sexueller Orientierung.

Analytics Engineer (m/w/d)

Explore 276+ Data analytics engineer in Berlin this July. Find roles across top companies and apply now to boost your career.