analytics engineer

Gemma Analytics

<div><h4 class="jobSectionHeader">About Gemma Analytics</h4>
Gemma Analytics helps clients to become more data-driven. As one of our AI &amp; Analytics Engineers, you sit at the intersection of data and AI. You don't just build pipelines and dashboards, you help design and deliver intelligent, agentic solutions that create real business impact for our clients. You surface insights others miss, translate complexity into clarity, and bring a builder's mindset to every engagement. 
 
This role is for someone who is equally comfortable writing a dbt model and prototyping an AI-driven workflow. You'll work hands-on with clients across startups and SMEs, supported by senior mentors in your first months, and grow into someone who shapes how we deliver the next generation of data and AI work.<h4 class="jobSectionHeader"> 
About the job</h4>
As an AI &amp; Analytics Engineer at Gemma, you play a critical role in helping our clients generate meaningful business value from their data and from AI. You don't just transform raw information into reliable insights; you design and build intelligent, agentic systems that automate decisions, accelerate workflows, and unlock new possibilities for the businesses we work with. 
 
You identify patterns others miss, translate complex client challenges into practical solutions, and bring both analytical rigor and an AI-builder's mindset to every engagement. Working closely with clients, you bridge the gap between data foundations and the next generation of AI-driven applications. 
 
During your first months, you will be supported by experienced team members to ensure a smooth onboarding and a strong technical foundation across both the modern data stack and agentic AI tooling. 
 
Responsibilities:<ul><li>
As we are tooling-agnostic, you will work with multiple technologies and develop a deep understanding of what is currently possible in the data landscape 
Collaborate and connect with domain experts to solve data challenges across various industries 
Develop advanced data reporting and visualisations 
Apply data modeling methodologies and contribute to a robust data platform for our clients 
Leverage AI tools &mdash; including agentic workflows and AI coding assistants &mdash; to accelerate and enhance data work</li></ul><h4 class="jobSectionHeader">
Who you are</h4>
We believe in a strong mix of experience and growth potential in our team and we welcome applications from all backgrounds. For this mid-level role, we are looking for people with initial experience in analytics, combined with curiosity, a structured mindset, and enthusiasm for turning numbers into business insights. 
Beyond that, we are looking for:<ul><li>
Experience with SQL and relational databases</li><li>
Business Fluency (C2 or native) in German and English</li><li>
First understanding of data modeling techniques (e.g. Data Vault or Kimball's Dimensional Modelling) and data warehousing in general</li><li>
Experience with AI tools in a professional context, ideally including AI coding assistants (e.g. Claude Code) and agentic analytics workflows</li><li>
Optional: Experience with one or more programming languages (Python preferred)</li><li>
Optional: Experience in stakeholder and/or client management</li></ul><h4 class="jobSectionHeader"> 
Gemma Perks</h4>
We are located in Berlin, close to Nordbahnhof. We are currently 18 colleagues and will grow to 24 colleagues in 2026. Other perks include<ul><li>
We have an honest, inclusive work environment and want to nurture this environment</li><li>
We have frequent team events in Berlin: our cultural base</li><li>
We encourage workations and even do workations as a company - it is up to you to come to the office between two and five days a week</li><li>
We don&rsquo;t compromise on equipment - a powerful Laptop, extra screens, and all the tools you need to be effective</li><li>
We will surround you with great people who love to solve (mostly data) riddles</li><li>
We believe in efficient working hours rather than long working hours - we focus on the output rather than the input</li><li>
We learn and share during meetups, lunch &amp; learn sessions and are open for further initiatives</li><li>
We pay a market-friendly salary and we additionally distribute at least 20% of profits to our employees</li><li>
We are fast-growing, have technology at our core, yet we do not rely on a VC and operate profitably</li><li>
We have a great yearly offsite event that brings us all together for a full week, enjoying good food, having a good time, and of course, solving complex data-related tasks solving complex data-related tasks</li></ul><h4 class="jobSectionHeader"> 
How you'll get here</h4><ul><li>
CV Screening</li><li>
Initial Conversation</li><li>
Hiring Test @home</li><li>
Interviews with 2-3 future colleagues</li><li>
Reference calls</li><li>
Offer + Hired</li></ul><h4 class="jobSectionHeader">
About us</h4>
We are Gemma Analytics: a Berlin-based company specialized in generating insights in a high-performance data infrastructure. Gemma was founded in early 2020 by two data enthusiasts. Ever since we have helped over 50 companies becoming more data-driven and successful. We have a fun, honest, and inclusive work environment. We are always looking for data-minded people we can learn from.</div>

AI & Analytics Engineer

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
 
Standort: 
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
 
Analytics Engineer (m/w/d)
 DEINE AUFGABEN
 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
 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
 Nach Deiner Einarbeitung wirst Du verantwortlich für zwei Topics und trägst damit entscheidend zu unserem Geschäftserfolg bei
 Du entwickelst und implementierst eigenständig Data Pipelines in der Google Cloud Platform und nutzt dbt, SQL, Github und andere Tools
 Als Expert*in im Datawarehouse kümmerst Du Dich auch um die Datenpflege, die Struktur der Datenmodelle sowie um die Kostenoptimierungen
 DEIN PROFIL
 Du hast eine Leidenschaft für Daten und Interesse am Vertriebsgeschäft regionaler Tageszeitungen
 Du besitzt Erfahrung als Analytics Engineer/Data Analyst sowie fortgeschrittene Kenntnisse in SQL und bringst idealerweise Kenntnisse in Python oder weiteren Programmiersprachen mit
 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
 Auf Dich kann man sich verlassen, Du übernimmst gerne Verantwortung und Ownership ist für Dich nicht nur eine Floskel
 Du bringst neben fließendem Deutsch auch Offenheit, Kommunikationsstärke und Teamfähigkeit mit
 Eine sorgfältige Arbeitsweise und hohe Eigenmotivation runden Dein Profil ab
 DEINE BENEFITS
 Innovation trifft Tradition: Du gestaltest die digitale Transformation unserer Mediengruppe mit
 Entwickle Dich mit uns: Wir ermöglichen Dir die Teilnahme an individuellen Coachings, Workshops oder (Online)-Trainings im Rahmen unserer FUNKE Akademie
 Flexibel arbeiten: Wir leben ein hybrides Arbeitsmodell, weil uns Deine Work-Life-Balance wichtig ist
 Teamwork: Dich erwarten ein dynamisches Team, eine offene Feedbackkultur, kurze Kommunikationswege und ein herzliches Miteinander
 Corporate Benefits: Wir bieten Dir ein Benefit-Portal mit attraktiven Rabatten und Abos
 Halte Dich fit und gesund: Profitiere von unseren Kooperationen mit verschiedensten Fitnessstudios und lasse Dich für Deine mentale und körperliche Gesundheit individuell beraten
 
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)

LimeFlight

<div>Join our fully remote, mission-driven team dedicated to pioneering sustainable inflight service management. Work on innovative technology solutions with global impact, collaborate within a diverse, international environment, and continuously enhance your skills through ongoing learning opportunities.
Headquartered in Zurich, Switzerland with team members across 11 countries, we offer a dynamic and engaging company culture that celebrates creativity, collaboration, and inclusion.
<h4 class="jobSectionHeader">About the role</h4>
We are hiring a Senior Data &amp; Analytics Engineer to take end-to-end ownership of our data platform and BI layer.
We are on a mission to contribute to a zero-waste future by drastically reducing food waste, fuel consumption, costs, and most importantly, CO₂ emissions in the airline industry. Every role in our company is a direct contributor to this vision - and as a Senior Data &amp; Analytics Engineer you will be at the forefront of turning data into meaningful insights, empowering our customers to effectively use them and drive real impact.
You will evolve a vendor-built BI solution into a modern, product-grade data platform and ensure that data is transformed into scalable, trusted, and actionable insights for both our customers and internal teams. You&rsquo;re not just building dashboards, you&rsquo;re enabling better decisions and measurable impact.
This role combines:<ul><li>
Data Engineering (pipelines, processing, customer facing exports, platform)</li><li>
Analytics Engineering (modeling, KPIs, semantic layer)</li><li>
Data Product Ownership (customer impact, insight generation)</li></ul><h4 class="jobSectionHeader">
What You&rsquo;ll Own</h4>
Platform, Architecture &amp; Pipelines
Own the end-to-end data platform (Databricks and Microsoft Fabric)<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>
Data Modeling &amp; Semantic Layer<ul><li>
Own Power BI 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>
Customer-Facing Analytics<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>
Data as Product<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>
Platform Quality, Operations, Security &amp; Governance<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>
Migration &amp; Insourcing (Initial Focus)<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">
What We&rsquo;re Looking For</h4>
Experience<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>
Technical &amp; Platform Skills<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>
Engineering Practices<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>
Nice-to-have<ul><li>
Azure infrastructure knowledge (IAM, networking)</li><li>
Data quality/testing frameworks (e.g., Great Expectations)</li></ul>
Mindset<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">
Language</h4>
Min. English C1<h4 class="jobSectionHeader">
Expected travel needs</h4>
2 annual one-week team events<h4 class="jobSectionHeader">
Our Tech Stack</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">
Hiring Process</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> 
LimeFlight is proud to be an equal opportunity employer.
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.
Join us and be part of a team committed to shaping a zero-waste future for aviation, where your ideas and passion truly matter.
Let&rsquo;s talk!</div>

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

Staffbase

<div><div><h3 class="jobSectionHeader">About Staffbase</h3>

We inspire people to achieve great things together. Our mission is to help organizations unlock the power of inspirational communication with the first AI-native Employee Experience Platform. Our industry-leading and award-winning agentic AI communications channels - intranet, employee app and email solutions - create engaging experiences that connect and empower employees.

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. 
We are proud to be a Unicorn 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.</div>
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.
<h2 class="jobSectionHeader">
Our environment</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">What you'll be doing</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">What you need to be successful</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">Nice to have</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>
What you'll get
<ul>
<li>Competitive Compensation - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan)</li>
<li>Flexibility - 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>Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August</li>
<li>Support - we offer offering a company pension scheme</li>
<li>Volunteers Day - you'll get one day off per year for supporting a social project</li></ul></div><div></div>

Staff Engineer, Data & Analytics

Enpal

<div>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.
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. 
 
About the Role
Our central Data Platform team builds the paved road that domain Analytics Engineering and BI teams build on top of within our data mesh. As a Data Platform Engineer, your customers are developers, not dashboards: you own the tooling, abstractions, and guardrails that let 55+ AE/BI engineers embedded across domains ship dbt models safely and fast across a ~2,500-model monorepo. You'll work at the intersection of dbt, Snowflake, orchestration, and infrastructure-as-code, and you'll spend as much time unblocking and enabling others as you do writing code.<h3 class="jobSectionHeader">
What You'll Do</h3><ul><li>
Own and evolve our dbt platform: macros, packages, project structure, selective/state-aware runs, and CI gating across a large monorepo.</li><li>
Build self-service scaffolding and developer tooling so domain teams can create models, sources, and tests without touching platform internals.</li><li>
Manage infrastructure as code with Terraform and ArgoCD (GitOps), keeping environments reproducible and reviewable.</li><li>
Enforce federated governance: data contracts, RBAC via Snowflake database roles, and domain ownership boundaries.</li><li>
Support data privacy and compliance requirements, including metadata-driven PII handling.</li><li>
Build observability and testing into the platform so failures are caught before they reach domain teams.</li><li>
Partner with AE/BI leads to gather requirements, review designs, document patterns, and continuously lower the barrier to entry.</li></ul><h3 class="jobSectionHeader">
What We're Looking For</h3><ul><li>
Strong software engineering fundamentals: Python, testing, reusable libraries, and a platform-as-product mindset.</li><li>
Deep, hands-on dbt experience at scale (not just authoring models, but operating the platform around them).</li><li>
Solid Snowflake knowledge: RBAC, performance, and warehouse management.</li><li>
Experience with orchestration (Airflow) and containerized workloads (Kubernetes/AKS).</li><li>
Comfort with IaC (Terraform) and GitOps (ArgoCD).</li><li>
Familiarity with modern ingestion frameworks (dlt or similar).</li><li>
Excellent communication and stakeholder empathy; you enjoy enabling other engineers and can navigate ambiguity in a cross-domain mesh.</li></ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
Experience building internal developer platforms or paved-road tooling.</li><li>
Knowledge of data contracts and federated data governance.</li><li>
GDPR/DSGVO-aware data handling experience.</li><li>
Exposure to Snowflake Iceberg/REST catalogs or dbt Fusion.
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.
</li></ul><h3 class="jobSectionHeader">What we offer</h3><ul><li>
Work at Germany's first green unicorn - Play an active role in shaping the solar energy transition.</li><li>
The sun shines all over the world - At Enpal, you'll work with a highly motivated, diverse team of over 65 nationalities.</li><li>
The ideal setup for your focus - 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.</li><li>
Grown-up business &amp; startup spirit - 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.</li><li>
Your kick-start at Enpal - Onboarding day with a welcome bag, buddy program, and a team that really supports you.</li><li>
Stay up to date &amp; help shape the future - Transparent all-hands meetings, short decision-making processes, and an open feedback culture - without mistakes, there is no progress.</li><li>
The energy transition can only be achieved together - At Enpal, you can expect legendary team spirit and unforgettable team events.</li><li>
Your extra boost - 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.</li></ul>
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.</div>

Data Engineer (f/m/x)

<div>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.
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. 
 
About the Role
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.
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. 
What you'll do: 
 
Data Contract Standards<ul><li>
Define and enforce best practices for the technical definition and implementation of data contracts, including guidance documentation and CI/CD enforcement.</li><li>
Establish best practices for the review and actualization of data contracts with data owners, keeping producers and consumers aligned.</li></ul>
Tooling &amp; Developer Experience<ul><li>
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.</li></ul>
Data Modeling Standards<ul><li>
Set and maintain the reference data model architecture, defining where and how data should be structured across layers (e.g., ODS/bronze, marts).</li><li>
Establish best practices for model quality, code reusability, and data product certification, including SQL style guides and data testing guidelines.</li></ul>
Advisory &amp; Consulting<ul><li>
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).</li><li>
Support BI teams in modeling data products within dbt and Snowflake.</li></ul> 
Scope of Influence 
 
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:<ul><li>
Guidance and governance documentation</li><li>
Technical enforcement mechanisms (CI/CD, testing frameworks)</li><li>
Cross-team consultation and architectural review</li></ul> 
Scope of Influence What you'll bring
Experience &amp; Background<ul><li>
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.</li><li>
Demonstrated experience setting technical standards or architecture that other engineers adopted and built on.</li><li>
Experience operating in a multi-team or domain-oriented data environment (data mesh, federated ownership, or similar) is a strong plus.</li></ul>
Technical Depth<ul><li>
Deep, hands-on expertise with dbt and a cloud data warehouse (Snowflake strongly preferred), including large or modular project structures.</li><li>
Solid command of data modeling approaches across raw, staging, and serving layers, and the trade-offs between them.</li><li>
Working knowledge of orchestration (Airflow), ingestion (dlt), cloud platform (Azure), and BI tooling (Power BI, Tableau).</li><li>
Familiarity with data contracts, schema governance, and CI/CD enforcement for data pipelines.</li><li>
Awareness of AI-assisted developer tooling and a pragmatic, evidence-based view of where it adds value.</li></ul>
Governance &amp; Standards
<ul><li>Proven ability to translate good practice into durable, adoptable standards: style guides, testing frameworks, certification criteria, review processes.</li><li>
Comfort defining guardrails that scale across teams without becoming bottlenecks.</li></ul>
Lateral Leadership &amp; Communication<ul><li>
Strong written communication; able to produce documentation engineers actually read and follow.</li><li>
Ability to build consensus and drive adoption through influence, not authority, across teams with competing priorities.</li><li>
Skilled at the consulting posture: advising, reviewing, and guiding without taking over.</li></ul>
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.
<h3 class="jobSectionHeader">What we offer</h3><ul><li>
Work at Germany's first green unicorn - Play an active role in shaping the solar energy transition.</li><li>
The sun shines all over the world - At Enpal, you'll work with a highly motivated, diverse team of over 65 nationalities.</li><li>
The ideal setup for your focus - 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.</li><li>
Grown-up business &amp; startup spirit - 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.</li><li>
Your kick-start at Enpal - Onboarding day with a welcome bag, buddy program, and a team that really supports you.</li><li>
Stay up to date &amp; help shape the future - Transparent all-hands meetings, short decision-making processes, and an open feedback culture - without mistakes, there is no progress.</li><li>
The energy transition can only be achieved together - At Enpal, you can expect legendary team spirit and unforgettable team events.</li><li>
Your extra boost - 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.</li></ul>
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.</div>

Data Platform Architect (f/m/x)

Delivery Hero

<div>Company Description 
As the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech, designed by people. As one of Europe&rsquo;s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero. 
Job Description 
We are on the lookout for a Data Engineer ll to join the Program team, known as the Catalyst for Agentic Transformation within Tech Foundations on our journey to always deliver amazing experiences.
As a member of the Tech Foundation Team, you&rsquo;ll support Delivery Hero&rsquo;s rapid innovation and growth. You&rsquo;ll work on foundational systems that enable faster feature development, security, and reliability across our global engineering community. Every enhancement you make will contribute to our teams' ability to build, scale, and deliver quality features&mdash;ultimately impacting millions of users worldwide.
The Program Execution team is the centralized hub that connects our specialized agentic efforts with the broader organization. While engineering teams build the systems, this team ensures they are integrated, governed, and adopted group-wide. Their mission is to orchestrate a unified strategy, moving Delivery Hero from fragmented AI experimentation to a cohesive, high-velocity AI-native ecosystem.
This team is the essential glue between technical innovation and business impact. By centralizing vendor relations and compliance, they ensure that a breakthrough in one area (like automated coding) or a win in another (like non-tech process automation) becomes a standard for all.<div>
As the team that ties everything together, they own the Northstar of 100% daily AI-usage across both engineering and enterprise functions. They bridge the gap between having a tool and using a tool by turning technical capabilities into daily habits for everyone at delivery hero. 
What you'll do- 
<ul><li>Impact Analysis &amp; Reporting: Setting up a group-wide framework to track if our AI investment is working. Analyzing productivity data across all focus areas and turning it into clear ROI stories for leadership.</li><li>Advocacy &amp; Evangelism: Acting as the voice of the program. Running roadshows and workshops to get both tech and non-tech teams excited, while addressing cultural concerns regarding how AI changes the nature of work.</li><li>Upskilling &amp; Training: Building the curriculum with learning and development teams to help the entire workforce move past the initial learning curve. Creating train-the-trainer programs to empower local AI champions in every department.</li><li>Cross-Brand Orchestration: Connecting decentralized brands and verticals to ensure knowledge sharing and a unified AI experience across the entire Delivery Hero group.</li><li>Unstructured Root Cause Analysis (RCA) Engines: Architectural design and implementation of automated pipelines capable of parsing highly unstructured data&mdash;such as GitHub pull requests, raw code diffs, CI/CD failure logs, and natural language developer comments&mdash;to extract semantic patterns and group core operational bottlenecks.</li></ul></div> 
Qualifications<div> 
Analytical &amp; Technical Expertise 
<ul><li>Data Storytelling: The ability to take raw usage data and turn it into a compelling narrative about productivity and business value.</li><li>Metric Definition: Understanding how AI influences business processes and delivery cycles, and defining the KPIs to prove it.</li></ul>
Unstructured Data Pipelines: Proven experience building data pipelines that ingest and transform unstructured log formats, text-based metadata, and system artifacts into structured, queryable data. 
 
Advocacy &amp; Soft Skills</div><ul><li>
High-Energy Evangelism: A genuine passion for AI that is contagious. You must be comfortable presenting to large groups&mdash;from engineers to business leads&mdash;and handling skepticism with empathy.</li><li>
Change Management: Experience helping large organizations adopt new habits. You understand that cultural shifts are the hardest part of any technological rollout.</li></ul><div>
Strategic Mindset 
<ul><li>Problem-Solving: The ability to navigate administrative or technical blockers (legal, security, or regional hurdles) to keep the program's momentum high.</li><li>Collaborative Diplomacy: Building strong relationships across different brands to drive a central vision without stepping on local autonomy.</li></ul></div> 
Additional Information 
Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you&rsquo;re in good shape, then we&rsquo;re in good shape.<ul><li>
Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week</li><li>
We offer 27 days holiday with an extra day on 2nd and 3rd year of service</li><li>
We will support you in developing yourself and your career growth opportunities: 1.000 &euro; Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.</li><li>
Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Gym &amp; Bicycle Subsidy</li><li>
Cash. Dough. Cheddar. Whatever you call it, we&rsquo;ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life &amp; Accident Insurance, Corporate Pension Plan</li><li>
The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.</li><li>
Wondering what relocating to Berlin is like? In this article, we&rsquo;ve put together 10 things you should know about moving to Berlin and how Delivery Hero can support you. You can also visit our relocation hub and check out more information about moving to Berlin.</li><li>
Ready to prepare for your interview? Check out the list of the 5 most common interview questions and answers created in collaboration with our recruiters.</li></ul> 
Ready to join our team? If you&rsquo;re excited to grow, collaborate and be part of the world&rsquo;s leading delivery platform, we&rsquo;d love to hear from you. Apply today!<div></div>
We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. 
 
We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience&mdash;just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.com. 
 
Severely disabled applicants with equal qualifications will be given preferential consideration. 
 
You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.</div>

Data Engineer ll, Program Team (Tech Foundations)

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