analytics engineer

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

FUNKE Mediengruppe

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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
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<b>Standort:</b><br>
Berlin, DE Hamburg, DE
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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
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Haben wir Dein Interesse geweckt? Dann gestalte mit uns die Zukunft und sende uns Deine Bewerbung an Steffen Flach.
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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)

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>
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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)

Talon.One LinkedIn Jobs

<div><div><p><b>ABOUT TALON.ONE:</b></p><br>
<p></p>
<p>
Talon.One is the most powerful incentives engine that unifies loyalty, promotions and gamification into one holistic platform. Backed by enterprise-grade security and scalability, Talon.One empowers companies to build personalized, profitable promotions and loyalty programs using any data.</p>
<p>
Today, over 250 of the world's most-loved brands including Adidas, Sephora and Carlsberg work with Talon.One to drive deeper engagement and lasting loyalty with their customers.</p></div><br>
<p></p>
<p><b>
ABOUT THE TEAM:</b></p>
<p>
We're a passionate team, consisting of a Head of Data, a Data Engineer, an Analytics Engineer and a Senior Data Analyst dedicated to all things data. You'll be at the centre of our expanding Data team. We're enthusiastic about exploring new tools and technologies, and we thrive on brainstorming to solve challenges and apply best practices. Our team is set to grow soon, welcoming Data Engineers, Analytics Engineers, Analysts, and Data Scientists, all playing a pivotal role in Talon.One's development.</p>
<p><b>
ABOUT THE ROLE:</b></p>
<p>
As a Senior Data Engineer / Data Ops, you will be responsible for all engineering tasks related to the data infrastructure, data ingestion and DWH pipelines. You will own our data ingestion workflows (currently based on a Kafka stream) and will make sure that the data from our PostgresDB instances with a very high amount of data is ingested live into BigQuery. Besides, you will manage our overall data platform infrastructure, recommend improvement and make sure to always follow best practices. Finally, you will also of course be involved in the Data Engineering pipelines, assisting in the modelling of various data sources helping literally all departments within the company making better decisions.</p><br>
<p></p>
<p><b>
ONCE YOU ARE HERE YOU WILL:</b></p><br>
<p></p>
<ul>
<li>Own the data ingestion streams for all of our client's DBs, from Postgres to BigQuery</li>
<li>Own the overall data infrastructure: set up, maintain and improve our stack with new technologies for more efficiency and best practices. E.g. improve orchestration</li>
<li>Write DWH pipelines and improve our overall DWH code to apply best practices and bring more efficiency.</li>
<li>Be part of a data team composed of various profiles, be at the center of all infrastructure decisions and work closely with other stakeholders from the R&amp;D department, especially the DevOps team.</li>
</ul>
<p><b>WHAT WE NEED YOU TO BRING TO THE TABLE:</b></p>
<ul>
<li>3 -5 years of experience in the Data Engineering / Data Ops field, ideally working on some big data warehouse projects.</li>
<li>You are familiar with the modern data stack and are able to recommend, set up and maintain all different kinds of components from Data ingestion to automation.</li>
<li>You have experience with a wide range of tools and technologies within the modern data stack: Kafka, Airflow, Dagster, DBT Core, BigQuery, Lambda functions etc..</li>
<li>You have experience with general infrastructure / DevOps management technologies: ArgoCD, Kubernetes, Docker, Github, Postgres, GCP etc..</li>
<li>You always thrive for applying data engineering best practices: consistency checks, testing data reliability, monitoring on top of ingestion pipelines, no double business logic in the code.</li></ul><br>
<p></p>
<p><b>
ABOUT TECHNOLOGY:</b></p>
<ul>
<li>Kubernetes running on Google Cloud, ArgoCD, Terraform</li>
<li>PostgreSQL</li>
<li>Aiven Kafka Connect, Strimzi, Debezium</li>
<li>DBT cloud, GCP, BigQuery, Fivetran</li>
<li>We use Go for our API, core logic, and internal tooling</li>
<li>Cypress for automated end-to-end testing</li>
<li>Other odds &amp; ends in JavaScript and shell script</li></ul><br>
<p></p>
<div><b>
WHAT'S IN IT FOR YOU:</b></div>
<ul><li>A Research and Development Department of 90+ of engineers, product managers and product designers in Berlin</li>
<li>Leaders with 8+ years of experience building our promotions engine</li>
<li>&euro;1,000 annual learning budget and free German language courses to boost your skills</li>
<li>30 days of annual leave, plus extra paid days for your birthday and moving day</li>
<li>Home office setup budget, a monthly home office allowance</li>
<li>Freedom to work from abroad for up to 90 days worldwide!</li>
<li>Mental health support with nilo.health and a discounted Urban Sports Club membership</li>
<li>20% company subsidy on your pension contributions</li>
<li>Subsidised BVG public transport ticket and a dog-friendly Berlin office where your furry friend is welcome</li>
<li>Lease your ideal bike through BusinessBike</li></ul></div><p></p>

Senior Data Engineer

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>

Enpal

<div><p>Our goal is to have a solar system on every roof, a storage unit in every house, and an electric car in every garage. Enpal makes this possible with an integrated total solution for decentralized energy&mdash;from solar systems and battery storage to wall boxes, smart meters, and heat pumps. At the heart of it all is our AI-powered platform Enpal.One+, which intelligently connects thousands of systems and efficiently optimizes electricity procurement and feed-in on the energy market.</p><p>
Are you ready for solutions that are more than just a promise and bring real quality of life to thousands of households every day? What you create at Enpal will deliver clean electricity tomorrow and bring about lasting change in how we use energy.<br>
<br>
<b>About the Role</b></p><p>
The Staff Data Platform Architect is a senior technical leadership role responsible for defining and governing best practices across our data platform and analytics ecosystem. Reporting to the Engineering Manager, Data Platform, this is an individual-contributor role that leads through influence and lateral collaboration rather than direct authority.</p><p>
You will act as a cross-functional technical authority, working closely with the Data Platform team and domain BI teams to set the standards, guardrails, and architectural direction that enable all data teams to operate at high quality and scale. Your impact is measured not by what you execute day-to-day, but by how effectively you raise the bar across teams through clear standards, sound architecture, and trusted consultation.</p><p><b><br>
What you'll do:</b><br>
<br>
<b>Data Contract Standards</b></p><ul><li><p>
Define and enforce best practices for the technical definition and implementation of data contracts, including guidance documentation and CI/CD enforcement.</p></li><li><p>
Establish best practices for the review and actualization of data contracts with data owners, keeping producers and consumers aligned.</p></li></ul><p><b>
Tooling &amp; Developer Experience</b></p><ul><li><p>
Drive tool selection and evolution for data developers (e.g., dbt, IDEs, AI-assisted tooling), continuously evaluating options and defining usage best practices to keep teams productive and modern.</p></li></ul><p><b>
Data Modeling Standards</b></p><ul><li><p>
Set and maintain the reference data model architecture, defining where and how data should be structured across layers (e.g., ODS/bronze, marts).</p></li><li><p>
Establish best practices for model quality, code reusability, and data product certification, including SQL style guides and data testing guidelines.</p></li></ul><p><b>
Advisory &amp; Consulting</b></p><ul><li><p>
Serve as a consulting authority for the design and maintenance of data processing infrastructure (Snowflake, dbt, Airflow, dlt, Azure) and BI infrastructure (Power BI, Tableau).</p></li><li><p>
Support BI teams in modeling data products within dbt and Snowflake.</p></li></ul><p><b><br>
Scope of Influence</b><br>
<br>
This role does not own day-to-day execution but sets the technical direction, standards, and guardrails for all data teams. The work manifests primarily as:</p><ul><li><p>
Guidance and governance documentation</p></li><li><p>
Technical enforcement mechanisms (CI/CD, testing frameworks)</p></li><li><p>
Cross-team consultation and architectural review</p></li></ul><p><b><br>
Scope of Influence What you'll bring</b></p><p><b>
Experience &amp; Background</b></p><ul><li><p>
7&ndash;10 years in data engineering, analytics engineering, or data platform roles, with a track record of working as a strong generalist across the modern data stack.</p></li><li><p>
Demonstrated experience setting technical standards or architecture that other engineers adopted and built on.</p></li><li><p>
Experience operating in a multi-team or domain-oriented data environment (data mesh, federated ownership, or similar) is a strong plus.</p></li></ul><p><b>
Technical Depth</b></p><ul><li><p>
Deep, hands-on expertise with dbt and a cloud data warehouse (Snowflake strongly preferred), including large or modular project structures.</p></li><li><p>
Solid command of data modeling approaches across raw, staging, and serving layers, and the trade-offs between them.</p></li><li><p>
Working knowledge of orchestration (Airflow), ingestion (dlt), cloud platform (Azure), and BI tooling (Power BI, Tableau).</p></li><li><p>
Familiarity with data contracts, schema governance, and CI/CD enforcement for data pipelines.</p></li><li><p>
Awareness of AI-assisted developer tooling and a pragmatic, evidence-based view of where it adds value.</p></li></ul><p><b>
Governance &amp; Standards</b>
</p><ul><li><p>Proven ability to translate good practice into durable, adoptable standards: style guides, testing frameworks, certification criteria, review processes.</p></li><li><p>
Comfort defining guardrails that scale across teams without becoming bottlenecks.</p></li></ul><p><b>
Lateral Leadership &amp; Communication</b></p><ul><li><p>
Strong written communication; able to produce documentation engineers actually read and follow.</p></li><li><p>
Ability to build consensus and drive adoption through influence, not authority, across teams with competing priorities.</p></li><li><p>
Skilled at the consulting posture: advising, reviewing, and guiding without taking over.</p></li></ul><p>
Are you interested even if you don't meet all the requirements? Apply anyway! We look forward to discovering your potential&mdash;regardless of whether your experience meets every single requirement.
</p><p></p><h3 class="jobSectionHeader"><b>What we offer</b></h3><ul><li><p><b>
Work at Germany's first green unicorn</b> - Play an active role in shaping the solar energy transition.</p></li><li><p><b>
The sun shines all over the world</b> - At Enpal, you'll work with a highly motivated, diverse team of over 65 nationalities.</p></li><li><p><b>
The ideal setup for your focus</b> - We are convinced that excellent results are achieved when the conditions are right. That's why we rely on a hybrid working concept that gives you the freedom to always work in the way that best suits your tasks. Do you need new inspiration on an international level? With Workflex, we offer you the opportunity to relocate abroad for up to 30 days a year, depending on your responsibilities.</p></li><li><p><b>
Grown-up business &amp; startup spirit</b> - In our modern office in Berlin-Friedrichshain, you'll find everything your heart desires, from height-adjustable desks and table tennis to stocked beverage fridges and barista coffee.</p></li><li><p><b>
Your kick-start at Enpal</b> - Onboarding day with a welcome bag, buddy program, and a team that really supports you.</p></li><li><p><b>
Stay up to date &amp; help shape the future</b> - Transparent all-hands meetings, short decision-making processes, and an open feedback culture - without mistakes, there is no progress.</p></li><li><p><b>
The energy transition can only be achieved together</b> - At Enpal, you can expect legendary team spirit and unforgettable team events.</p></li><li><p><b>
Your extra boost</b> - 29 vacation days + one additional day off on Christmas Eve and New Year's Eve, discounted membership at Wellhub, and corporate benefits. Everything you need to help you achieve a good work-life balance.</p></li></ul><p><i>
At Enpal, we are proud of the diversity of our team. No decisions are made on the basis of skin colour, religion or religious belief, ethnic or national origin, nationality, gender identity, sexual orientation, disability or age, either during recruitment or employment. Enpal stands for a safe workplace and takes action against discrimination and harassment of any kind.</i></p></div>

Data Platform Architect (f/m/x)

Project Q

<div><h4 class="jobSectionHeader"><b>New Challenge</b></h4><p></p><p><b>
Job Advertisement: Software Product Engineer</b><b> </b><b>(m/f/d)</b></p><p>
Location: Berlin, Munich, Remote (Germany, EU)<br>
Working Hours: Full-time<br>
Start Date: Immediately or by arrangement</p><b>
About Us</b><p>
Project Q GmbH (&quot;Q&quot;) is a Germany-based DefenceTech company with offices in Berlin and Munich. We network market-available sensors into a tactical IoT backbone that reliably provides armed forces and security agencies with a cross-domain information superiority-automated, scalable, and cost-efficient.</p><p>
Our solutions integrate seamlessly into existing defence and safety infrastructures, offering fast data fusion and AI-enhanced analytics to deliver robust situational awareness in dynamic environments. We build platform-agnostic systems that enable real interoperability across domains.</p><p>
As a Software Product Engineer, you'll join a focused, deeply skilled team to help build and extend our European open-core integration infrastructure. This includes Hydris: our integrate once, deploy everywhere, open source orchestration plane. Hydris, and its growing ecosystem of partner integrations, are where heterogeneous real-world systems like radars, AIS receivers, mesh radios, satellite feeds, AI analytics, and C2 platforms become one coherent picture, in conditions that are bandwidth-constrained, intermittently connected, and unforgiving.</p><b>
What you'll do</b><p>
This role is broad by design. You'll be trusted to take problems end to end: talk to users, shape what gets built, write the code, ship it, see how it performs, and decide what comes next. Day to day that means core engine work on Hydris in Go and TypeScript, extending it with features that genuinely move the field, and helping grow the ecosystem of certified integrations. It also means collaborating across our tech org and helping build and extend our integrated, software-defined customer solutions. And it means setting technical standards: how we test distributed behavior, how we version protocols, and how we keep an API-first product backward compatible.</p><b>
Who this is for</b><p>
You build software systems. You've shipped real products that people rely on, and you can show them to us. You care about building the right thing the right way, and about seeing it through. You want to travel when needed or possible, to be with the user, to understand their needs, and build directly to those. And you do your best work where the decisions are meaningful and the problems are challenging. This is a role that will demand the excellence you challenge others to show in their own work and conduct.</p><b>
How you work</b><ul><li><b>
Self-starting.</b> You don't wait for a perfectly scoped task; your default is to try something and learn from it.</li><li><b>
Deeply curious.</b> You'll go down the rabbit hole and come back with something the rest of us didn't know we needed.</li><li><b>
Builder first.</b> You'd often rather have a rough thing in someone's hands this week than a perfect plan for next quarter.</li><li><b>
Standard-setting.</b> You join a team to raise its bar. People tend to work a little differently because you're in the room.</li></ul><b>
You should apply if you have</b><ul><li>
Taken new products from concept to scaling in-market, and lived with the weight of users, edge cases, and keeping it healthy under load.</li><li>
Worked across the full surface: product sense, design instinct, full-stack, deployments, the documentation that empowers other developers, and the long-term maintenance of what you build.</li><li>
Made calls under uncertainty with incomplete information, and owned the outcomes, good and bad.</li><li>
Earned the respect of engineers you respect. The best people you've worked with would take your call.</li><li>
Built a deep, principled, and broadly applicable skill set through substantial work and study.</li><li>
Eligibility to obtain a security clearance.</li><li>
Comfort working confidently in English.</li></ul><b>
You'd be a great fit with</b><ul><li>
Experience building secure systems for adversarial or contested environments, including threat modelling, secure-by-design practices, and hardening against real attackers.</li><li>
Experience with geospatial systems, sensor fusion, AI/ML analytics, or track management.</li><li>
Familiarity with defence or ISR data standards like CoT/TAK, ASTERIX, SAPIENT, MIL-STD-2525.</li><li>
Background in networking, mesh architectures, IoT integration, or systems built for contested or degraded communication environments.</li><li>
Experience on developer-facing open-source infrastructure where adoption depends on the quality of the API and documentation.</li><li>
Professional proficiency in German (and extra bonus points for additional European languages).</li></ul><b>
We Offer</b><ul><li>
Be a part of our growth story and help build us a leading technology company.</li><li>
A varied and responsible role in a dynamic company.</li><li>
Flat hierarchies and a pleasant working environment.</li><li>
Opportunities for professional and personal development.</li><li>
Flexible working hours and remote work options.</li><li>
Attractive salary and additional benefits.</li></ul>
Have we sparked your interest? Then we look forward to receiving your CV, including your earliest possible start date, at HR [at] project-q.ai. We look forward to meeting you!<p></p><h4 class="jobSectionHeader"><b>
About us</b></h4><p>
Q is a European defence-tech company pioneering the Internet of Defence with modular, scalable and interoperable sensor and intelligence solutions.</p></div>

Software Product Engineer (m/f/d)

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