data infrastructure engineer

Flix

<div>
 We&rsquo;re looking for a
 
 Data Platform Engineer (m/f/d)
 
 to join our team and help build and operate the data infrastructure that powers Flix&rsquo;s mobility platform.
 
 
 At FlixTech, our data platform enables teams across the company to process, analyze, and act on large volumes of mobility data. The platform supports critical use cases such as network planning, pricing, operations, and business analytics. You will work on scalable infrastructure that processes millions of daily events and ensures reliable data availability across the organization.
 
 
 You&rsquo;ll be part of a cross-functional engineering environment collaborating with data analysts, data scientists, and platform engineers. The role focuses on building reliable, scalable data systems and enabling other teams to work efficiently with data.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Design, build, and maintain scalable data infrastructure running on AWS and Kubernetes
 </li>
 <li>
 Develop and operate streaming and data platform components using technologies such as Kafka and Snowflake
 </li>
 <li>
 Implement monitoring, alerting, and operational tooling to ensure platform reliability and performance
 </li>
 <li>
 Own features end-to-end, including development, testing, deployment, monitoring, and maintenance
 </li>
 <li>
 Build and maintain Infrastructure as Code using Terraform and GitLab CI/CD
 </li>
 <li>
 Collaborate with data analysts, data scientists, and stakeholders to support data platform use cases
 </li>
 <li>
 Contribute to improving platform reliability, automation, and engineering practices
 </li>
 <li>
 Participate in on-call rotations to support the stability of the data platform
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 3+ years of experience building or operating data infrastructure or data platforms
 </li>
 <li>
 Hands-on experience with streaming technologies such as Kafka and data warehouses like Snowflake
 </li>
 <li>
 Experience with Infrastructure as Code tools (e.g., Terraform) and CI/CD pipelines (e.g., GitLab)
 </li>
 <li>
 Practical experience with cloud platforms (preferably AWS) and container platforms such as Kubernetes
 </li>
 <li>
 Experience with monitoring and observability tools (e.g., Datadog or similar)
 </li>
 <li>
 Solid programming skills in Python and interest in writing clean, maintainable code
 </li>
 <li>
 Strong collaboration and communication skills when working with technical and business stakeholders
 </li>
 <li>
 Fluent in English
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Experience with advanced SQL or data transformation tools (e.g., dbt)
 </li>
 <li>
 Experience with data processing frameworks (e.g., PySpark)
 </li>
 <li>
 Knowledge of security and networking concepts relevant for data platforms
 
 
 </li>
 </ul>
 We recognize that everyone carries a unique set of valuable skills and experiences. If you think you could have an impact even though you don't meet 100% of the requirements, we still encourage you to apply. We want to hear from you!
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Travel perks: 12 free Flix vouchers + 12 discount vouchers for friends &amp; family.
 </li>
 <li>
 Work from (M)Anywhere: Depending on your role, work from another location for up to 60 days per year.
 </li>
 <li>
 Hybrid work model: We are an office-first company, but we offer flexibility to balance work and life.
 </li>
 <li>
 Wellbeing support: Access confidential 1:1 counselling, courses, and stress management for yourself and up to four family members.
 </li>
 <li>
 Learning &amp; Development: Take advantage of language classes, training courses, and expert-led sessions to grow your skills.
 </li>
 <li>
 Mentoring Program: Connect with experienced colleagues to gain insights and accelerate your career.
 
 
 </li>
 </ul>
 To view more local benefits specific to each office location, please check out this link:
 
 Locations - Flix Career
 
 
 
 
 Why Join Flix?
 
 
 
 At Flix, you&rsquo;ll find teams that rally together to overcome challenges and spark creativity. We believe in ownership culture - giving you the freedom to take initiative, make an impact, and shape your own career path.
 
 
 As we continue to expand across the globe, you can make a real difference in how we work.
 
 
 If you&rsquo;re ready to grow and lead your journey, Flix is the place for you!
</div>

Data Platform Engineer (Mid-Level) (m/f/d)

ALMETRA

<div>Platform Engineer
We're looking for a (Senior) Platform Engineer to own and evolve our infrastructure &mdash; with a focus on developer experience and the chance to get hands-on with AI systems.
What you'll do<ul><li>
Design and maintain cloud infrastructure on AWS using Terraform</li><li>
Own and improve CI/CD pipelines for fast, safe deployments</li><li>
Manage and scale Kubernetes clusters</li><li>
Improve developer experience &mdash; making it easy for teams to ship and debug</li><li>
Implement monitoring, logging and alerting for full observability</li><li>
Configure and optimise CDN infrastructure</li></ul>
You are<ul><li>
8-10 years of experience in DevOps, SRE or platform engineering roles</li><li>
Expertise in AWS</li><li>
Proficient with Terraform and infrastructure-as-code workflows</li><li>
Experienced in building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins or similar)</li><li>
Solid understanding of Kubernetes &mdash; deployment, networking, scaling and troubleshooting</li><li>
Strong sysadmin fundamentals &mdash; Linux, networking, storage and configuration management</li><li>
Comfortable working with relational databases (PostgreSQL, MySQL) and time series databases (TimescaleDB, Prometheus)</li><li>
A clear communicator who works well across engineering and data science teams</li><li>
Pragmatic and reliable &mdash; you know when to move fast and when to be careful</li></ul>
Nice to have<ul><li>
Experience supporting ML infrastructure &mdash; model deployment, GPU workloads or training pipelines</li><li>
Background in CDN configuration (CloudFront, Fastly, Cloudflare)</li><li>
Familiarity with streaming data or video processing systems</li><li>
Interest in MLOps and bridging the gap between ML research and production</li></ul>
Why this role matters
You'll keep our systems running smoothly and help the team ship with confidence. And if you're curious about ML, you'll get real exposure to production AI systems.
#LI-SP1 #LI-Hybrid
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software 
 
Don't meet all the requirements?
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.<ul><li> 
Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</li></ul>
Compensation Range: &euro;70K - &euro;85K</div>

Platform Engineer (m/f/d) (AI Startup)

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

develop

<div>
 
 
 Senior DevOps Engineer | Berlin | FinTech | German (B2+)
 
 
 
 &euro;85,000 - &euro;100,000 per annum
 
 
 
 
 
 We're partnering with an innovative FinTech company in Berlin to hire a DevOps Engineer who is passionate about building scalable, secure, and reliable cloud infrastructure.
 
 
 
 
 
 
 What you'll do:
 
 
 
 
 
 <ul>
 <li>
 Build and maintain CI/CD pipelines
 </li>
 <li>
 Automate infrastructure using Infrastructure as Code
 </li>
 <li>
 Manage and optimise cloud environments (AWS/Azure/GCP)
 </li>
 <li>
 Collaborate with development teams to improve deployment and reliability
 </li>
 <li>
 Monitor systems and drive performance and security improvements
 </li>
 </ul>
 
 
 
 
 
 What we're looking for:
 
 
 
 
 
 <ul>
 <li>
 Experience in DevOps, SRE, or Cloud Engineering
 </li>
 <li>
 Hands-on knowledge of Docker, Kubernetes, Terraform, and CI/CD tools
 </li>
 <li>
 Experience with cloud platforms (AWS, Azure, or GCP)
 </li>
 <li>
 German language skills at B2 level or above and good English
 </li>
 <li>
 EU work authorisation is preferred
 </li>
 </ul>
 
 
 
 
 
 What's on offer:
 
 
 
 
 
 <ul>
 <li>
 Competitive salary and benefits
 </li>
 <li>
 Hybrid working in Berlin
 </li>
 <li>
 Opportunity to work on cutting-edge FinTech products
 </li>
 <li>
 Collaborative, international team with excellent career growth
 </li>
 </ul>
 
 
 
 
 Interested? Send me a message on LinkedIn or apply directly to learn more about this opportunity.
 
</div>

Senior DevOps Engineer

<div><h2 class="jobSectionHeader">About the Opportunity</h2>

We are seeking a Junior Backend Engineer to join the Data Ingestion Team within the Platform Engineering Domain. This is an exciting opportunity for an early-career engineer to grow their skills building high-throughput data processing systems.

Platform Engineering's mission is to provide trusted, performant, and self-service platforms. As part of this, the Data Ingestion team is responsible for building and maintaining the pipelines that power our bank's data ecosystem, focusing on reliability, scalability, and clean engineering practices.

The ideal candidate is an eager learner who is excited to dive into new technologies and solve technical challenges with the support of a senior team. We value engineers who are self-driven, seek constructive feedback, and thrive in a collaborative environment that prizes technical growth.
<h2 class="jobSectionHeader">
In this role, you will:</h2>
<ul><li>Software Development: Work under the guidance of senior engineers to develop and maintain backend services for our data ingestion platform.</li>
<li>Engineering Support: Support the team in applying strong engineering practices including writing automated tests, participating in code reviews, and maintaining observability.</li>
<li>Proactive Learning: Proactively ask questions, propose small improvements, and collaborate with the team to deliver clean, testable code for our platform services.</li>
<li>Knowledge Sharing: Participate in technical discussions, contribute to internal documentation, and help us maintain a transparent knowledge base.</li>
<li>Development Contribution: Contribute to infrastructure development tasks and participate in technical demos to showcase your work.</li>
<li>Shadow and Respond: Shadow on-call rotations and assist in troubleshooting efforts to learn incident response protocols.</li>
<li>Observability Support: Learn to maintain and use observability solutions (metrics, logging, tracing) to help the team track platform SLOs and availability.</li>
</ul><h2 class="jobSectionHeader">What you need to be successful</h2>
<h3 class="jobSectionHeader">Background and Skills:</h3>
<ul><li>Strong foundational backend skills, with a preference for Kotlin or Java, and a willingness to adapt to the language best suited for the task.</li>
<li>Exposure to data storage solutions such as PostgreSQL, RDS, or S3.</li>
<li>Basic knowledge of containers (Docker) and an eagerness to learn Kubernetes.</li>
<li>Exposure to infrastructure as code concepts (Terraform or similar).</li>
<li>Interest in learning CI/CD pipelines and modern automation tools.</li>
<li>Understanding of testing pyramids and experience writing unit and integration tests.</li>
<li>Familiarity with at least one observability/monitoring tool (e.g., DataDog, Prometheus, or Grafana).</li>
</ul><h3 class="jobSectionHeader">Nice to have:</h3>
<ul>
<li>Working experience in scale-ups within platform teams.
</li>
</ul><h3 class="jobSectionHeader">Traits:</h3>
<ul><li>Excellent collaboration and communication skills, with the ability to work across teams.</li>
<li>You enjoy taking tasks from start to finish and keeping the team updated on your progress.</li>
<li>A keen interest in understanding how to build high-quality, scalable, and secure infrastructure.</li>
<li>Eagerness to learn and contribute to building platforms as products.</li>
<li>A proactive approach to problem-solving, a desire to learn, and an appreciation for clean code.</li>
</ul><h2 class="jobSectionHeader">What's in it for you:</h2>
<ul><li>Accelerate your career growth by joining one of Europe's most talked about disruptors.</li>
<li>Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness &amp; wellness memberships, language apps and public transportation.</li>
<li>Come together with your team in the office for a dedicated day of teamwork each week, plus another day of your choice, and enjoy the flexibility of remote work the rest of the time. Some roles may require additional in-office presence.</li>
<li>As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members.
</li><li>Additional day of annual leave for each year of service.
</li><li>A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and backgrounds.</li>
</ul><h2 class="jobSectionHeader">Who we are</h2>

N26 has reimagined banking for today's digital world. Technology and design empower everything we do and it's how we are building the global banking platform the world loves to use.

We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do.

We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.

Sounds good? Apply now for this position.

Equal Opportunities:

We recognize that our strength lies in our people and the varied perspectives they bring to our workforce. We strive to build talented and diverse teams to drive our business success and empower our people to reach their full potential.

We genuinely welcome and encourage applications from people of all backgrounds, cultures, genders, sexual orientations, abilities, neurodiversities, and ages. We're committed to creating an inclusive workspace where everyone feels valued and respected, free from harassment and discrimination. If there's anything you need to make the application process work for you, please let us know by reaching out to candidate.exp@n26.com.

Visit our website to learn more about Diversity, Equity, &amp; Inclusion at N26.</div>

Junior Backend Engineer - Data Ingestion

<div>We&rsquo;re looking for a backend engineer who thrives in fast-moving environments and enjoys building robust systems end-to-end. You&rsquo;ll work across data pipelines, APIs and infrastructure, ensuring our platform runs efficiently and scales cleanly as we grow.
Your role<ul><li>
Develop and maintain backend features and APIs for our core platform</li><li>
Improve database performance, reliability and real-time data processing</li><li>
Debug, profile and optimise code to keep latency low and systems stable</li><li>
Collaborate with AI, frontend and product teams to integrate new capabilities</li><li>
Contribute to architectural decisions and shape the evolution of our backend stack</li></ul>
You are<ul><li>
5-7 years&rsquo; experience building production-grade backends (Python is a must; additional experience in Go, C++, or Java is valuable)</li><li>
Solid in SQL and data modelling (PostgreSQL or similar)</li><li>
Experienced with REST APIs and cloud environments (AWS preferred)</li><li>
Comfortable working independently and taking ownership of a problem</li><li>
Startup mindset &mdash; quick to ship, focused on quality, allergic to bureaucracy</li></ul>
Nice to have<ul><li>
Linux debugging and performance tuning</li><li>
Familiarity with orchestration (Kubernetes, Terraform, Ansible)</li><li>
Experience with data pipelines or analytical databases</li><li>
Interest in edge/cloud hybrid architectures</li></ul>
Why this role matters 
You&rsquo;ll help shape how data moves through our system &mdash; building fast, reliable infrastructure that powers every customer interaction.
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software 
 
Don't meet all the requirements?
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.<ul><li> 
Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</li></ul>
Compensation Range: &euro;70K - &euro;90K</div>

Senior Backend Engineer (m/f/d)

Adsquare

<div>
 
 
 
 About the Company
 
 
 
 
 
 
 
 
 
 At Adsquare, our mission is driven by our core focus:
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Passion
 
 &ndash; Solving complex challenges with great people, tech, and data.
 </li>
 <li>
 
 Niche
 
 &ndash; Location Intelligence for Programmatic Advertisers.
 </li>
 </ul>
 
 
 
 
 
 
 
 Our core values are integral to everything we do:
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Drive
 
 : We turn ambition into action to deliver valuable outcomes.
 </li>
 <li>
 
 Resilience
 
 : We adapt, persevere, and grow stronger.
 </li>
 <li>
 
 No BS
 
 : We value honesty, transparency, and clear communication.
 </li>
 <li>
 
 Humble
 
 : We choose modesty over vanity and let results speak for themselves.
 </li>
 <li>
 
 Moral Compass
 
 : We do the right thing with fairness, integrity, and respect.
 </li>
 </ul>
 
 
 
 
 
 
 
 We seek candidates who not only bring top-tier technical expertise but also embody these values in every aspect of their work.
 
 
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 
 
 
 As a (Senior) Data Engineer at Adsquare, you will be a key contributor to our core engineering function, creating and maintaining scalable big data pipelines that power our applications and drive business value. Because our engineering department handles a variety of critical data challenges, you will be assigned to a specific cross-functional squad based on your individual strengths, experience, and current business needs.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Data Pipeline Ownership
 
 : Take full accountability for the pipeline lifecycle&mdash;from raw data ingestion to transformation and external delivery&mdash;according to defined SLAs, time, and budget.
 </li>
 <li>
 
 Architect Scalable Solutions
 
 : Design and build robust data architectures required to process and transfer terabytes of data.
 </li>
 <li>
 
 Pipeline Optimization
 
 : Continuously improve data pipelines for cost and performance. This includes analyzing query plans, optimizing compute and working memory, and strategically applying horizontal or vertical scaling.
 </li>
 <li>
 
 Engineering Rigor
 
 : Elevate data engineering standards. Implement CI/CD workflows, infrastructure-as-code, test-driven development (TDD), and automated testing to ensure reliable and maintainable code.
 </li>
 <li>
 
 Data Monitoring
 
 : Create and maintain live monitoring dashboards to ensure data solutions are healthy and to support strategic decision-making.
 </li>
 <li>
 
 Collaboration &amp; Mentorship
 
 : Bridge the gap between Data and Backend engineering. For Senior applicants, act as a technical leader by mentoring junior team members, conducting code reviews, and introducing best practices.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 
 
 We are looking for a candidate with varying levels of experience (mid-level to senior, typically 3-6+ years) in Data Engineering or Backend Development with a heavy data focus. You must be comfortable working in a self-organized, agile environment.
 
 
 
 
 
 
 
 
 
 Required Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Programming Mastery
 
 : Very strong proficiency in Python and SQL. You write modular, production-ready code and possess a solid understanding of both Functional Programming and Object-Oriented Programming (OOP) principles.
 </li>
 <li>
 
 Big Data &amp; PySpark
 
 : Deep experience with large-scale data processing frameworks, specifically Apache Spark / PySpark. You understand how to handle TB-scale datasets efficiently. Deep understanding of big data file formats like parquet and avro. Experience with open Lakehouse formats like Iceberg.
 </li>
 <li>
 
 Advanced Optimization Skills
 
 : Proven experience in optimizing data pipelines for compute, working memory, and cost efficiency, including reading and analyzing complex query plans/profiles.
 </li>
 <li>
 
 Database &amp; Storage Architecture
 
 : Expertise in the trade-offs between OLAP and OLTP systems. You have built solutions using relational and non-relational (NoSQL) databases, and horizontally scalable data warehouses/lakehouses (e.g., Redshift, Snowflake, StarRocks).
 </li>
 <li>
 
 Cloud Native (AWS)
 
 : Experience architecting solutions within the AWS ecosystem (e.g., S3, Athena, Glue, EMR, Lambda, Batch).
 </li>
 <li>
 
 Infrastructure &amp; Orchestration
 
 : Production experience treating infrastructure as software using Terraform, alongside experience with orchestration tools like Airflow, dbt, or Step Functions.
 </li>
 <li>
 
 Engineering Fundamentals
 
 : Solid grasp of computer science principles, data structures, algorithms, and git-flow/CI/CD pipelines.
 </li>
 <li>
 
 AI tools
 
 : Good command of using AI tools (e.g. Claude Code, Kiro, Gemini Pro) to improve and refactor your code, increase your productivity and quality and performance of your code.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Preferred Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Compiled Languages
 
 : Experience with a compiled or strongly typed language (e.g., Java, Scala, Go, Kotlin, C++, Cython).
 </li>
 <li>
 
 Geospatial Data
 
 : Experience working with GIS (Geographic Information Systems) and geo-spatial datasets.
 </li>
 <li>
 
 Data Formats
 
 : Expertise in optimizing file formats (Parquet, Avro, Iceberg) for performance.
 </li>
 <li>
 
 Streaming Technologies
 
 : Familiarity with Kafka and Flink.
 </li>
 <li>
 
 Backend Context
 
 : Experience working closely with Backend engineers or familiarity with Backend architectural patterns (microservices, API design).
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Pay range and compensation package
 
 
 
 
 
 
 55,000 - 65,000 euros per year
 
 
 
 
 
 On top of a competitive package, we offer:
 
 
 
 
 
 
 
 <ul>
 <li>
 Hybrid work model + remote work from anywhere worldwide up to 3 months/year
 </li>
 <li>
 Individual yearly learning budget of 1,200&euro;
 </li>
 <li>
 30 vacation days per year
 </li>
 <li>
 Urban Sports Club membership
 </li>
 <li>
 Company pension scheme
 </li>
 <li>
 Regular team and company events
 </li>
 <li>
 Latest hardware and all tools you need to thrive
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Equal Opportunity Statement
 
 
 
 
 
 
 
 
 
 We are committed to diversity and inclusivity.
 
 
 
 
 
 
 
 
 Apply now!
 
 
 
 
</div>

Data Engineer (m/f/d)

Explore 133+ Data infrastructure engineer in Berlin this July. Find roles across top companies and apply now to boost your career.