data pipeline engineer

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)

ALMETRA

<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)

Eterno

<div>️ Your mission 
Python | TypeScript | AWS | Data Pipelines | Serverless | BI | Workflow Automation | AI-enabled Automation
We build ETERNO Cloud, the operating system for modern medical practices. It brings the core workflows of a medical practice into one cloud SaaS platform. Behind that product, our teams rely on clean data flows, reliable dashboards, workflow automations, and internal integrations to move fast while keeping systems reliable, secure, and maintainable.
You build and own the data pipelines, BI foundations, workflow automations, and internal integrations that help ETERNO teams work faster and make better decisions. You write maintainable code, work with AWS infrastructure, and use automation tools where they make systems simpler instead of more fragile.
&zwj;️ What you shape and build<ul><li>
Data pipelines that move product and business data into reliable reporting and automation flows</li><li>
BI foundations, dashboards, and recurring reports for internal teams and customer-facing insights</li><li>
Workflow automations that reduce manual work across product, operations, finance, sales, and engineering</li><li>
Internal integrations between SaaS tools, APIs, data sources, and AWS services</li><li>
Permission and access structures for BI, automation, and data tools that keep sensitive data protected</li><li>
Data quality checks, monitoring, and observability for pipelines and automations</li><li>
Small internal tools, services, and full-stack improvements where they are the right solution</li><li>
AI-enabled automations that improve speed and quality while keeping engineering judgment, ownership, and review standards high</li></ul>
️ What you care about<ul><li>
Reliable data that teams can actually trust</li><li>
Automation that removes repetitive work without creating hidden complexity</li><li>
Clear ownership from implementation to production</li><li>
Security, privacy, permissions, and maintainability as everyday engineering concerns</li><li>
Working closely with engineering, product, and business teams to understand real workflow problems</li><li>
Reducing complexity instead of moving it somewhere else</li></ul>
&zwj;️ What to expect at ETERNO<ul><li>
Make a real impact &ndash; Help us transform healthcare with bold, hands-on solutions for real challenges. Your contribution counts from day one &ndash; with responsibility, speed, and room for your own ideas.</li><li>
Your workspace &ndash; Take advantage of our hybrid model: You&rsquo;ll spend 3 days a week at our office in Berlin to collaborate with your team, and the rest of the time you&rsquo;ll work flexibly from home.</li><li>
Level up &amp; grow &ndash; Join an ambitious team that challenges and supports you. Whether leadership or deep dive: develop both professionally and personally through regular feedback, open exchange, and language courses in German &amp; English.</li><li>
Feel good, stay healthy &ndash; Access the ETERNO Spaces for quick doctor visits &amp; health check-ups. For more movement in your day: lease a JobRad &ndash; tax-advantaged and eco-friendly.</li><li>
We&rsquo;ve got you covered &ndash; Competitive salary, company pension with a 20% top-up, and a monthly budget for benefits like Urban Sports Club, vouchers, or public transport &ndash; plus attractive corporate benefits &amp; our Refer-a-Friend bonus.</li><li>
Stay connected &ndash; Meet driven, inspiring people. Whether Monthly All-Hands, team offsites, or spontaneous office vibes &ndash; we celebrate success together and push each other as a team.</li></ul>
What we want to highlight 
At ETERNO, we promote equal opportunities and diversity. We are committed to creating a diverse and inclusive environment for every one of us. We reject any form of discrimination based on ethnicity, skin color, physical or mental disability, religion, marital status, age, national origin, ancestry, health status, pregnancy, gender, sexual orientation, gender identity, or any other personal characteristics.
If you require any accommodations during the application process, please contact us in advance at careers@eterno.health. We are happy to support you.
#LI-Hybrid</div>

Data Automation Engineer (Berlin/hybrid)

CompuGroup Medical

<div>Als f&uuml;hrendes Unternehmen im Bereich Softwarel&ouml;sungen f&uuml;r das Gesundheitswesen sind wir in 19 L&auml;ndern t&auml;tig und besch&auml;ftigen &uuml;ber 9.000 engagierte Mitarbeitende. Du wirst in einem dynamischen und innovativen Umfeld arbeiten, das voller M&ouml;glichkeiten steckt. Mit Deinem Einsatz und Deiner Leidenschaft hast Du die Gelegenheit, einen nachhaltigen Unterschied zu machen.
CGM Leverages AI: Wir suchen Menschen, die die Kraft von KI im E-Health-Umfeld sp&uuml;ren, den Wandel mitgestalten wollen und mit neugieriger Leidenschaft erkennen, wie Technologie Gesundheit smarter, einfacher und besser machen kann.
Gemeinsam gestalten wir das Gesundheitssystem der Zukunft. Werde Teil unserer Mission und mache den Unterschied &ndash; f&uuml;r eine Welt, in der Wissen Leben rettet!
Dein Beitrag:
<ul><li>Du designst und betreibst die Data-Pipelines, die ifap DataServices antreiben &ndash; Du verwandelst kuratierte Arzneimittel-, Verordnungs- und klinische Referenzdaten in verl&auml;ssliche, aktuelle und performant abfragbare Datens&auml;tze f&uuml;r unsere SaaS-Produkte und Partner.</li><li>
Du baust und wartest robuste ETL/ELT-Pipelines in Python mit FastAPI-Services sowie Apache-Spark-/Scala-Workloads, immer mit Fokus auf Datenqualit&auml;t, Lineage, Observability und Kostenoptimierung.</li><li>
Du arbeitest eng mit Product Management, AI Engineers und Architekt:innen zusammen und entwirfst Data Products, die neue AI-native Features und Partnerintegrationen erm&ouml;glichen.</li><li>
Du nutzt Claude Code und AI-Agents, um die Entwicklung von Pipelines, Schema-Migrationen und Analysen deutlich zu beschleunigen, und baust gemeinsam mit dem Team wiederverwendbare Data-Engineering-Skills und Workflows auf.</li><li>
Du bringst echten Engineering-Anspruch in die Datenwelt: automatisierte Tests, CI/CD, Observability, stringentes Schemanagement und klare Ownership &uuml;ber Deine Pipelines und Services.</li></ul>
Das bringst Du mit:
<ul><li>Mehrj&auml;hrige Senior-Erfahrung im Data Engineering mit Python und einem klar nachweisbaren Track Record im Betrieb produktiver Datenpipelines in regulierten oder gesch&auml;ftskritischen Umgebungen.</li><li>
Abgeschlossenes Studium in Informatik, Data Engineering, Mathematik, Physik oder einem vergleichbaren technischen Studiengang mit sehr guten Leistungen.</li><li>
Sehr gute SQL-Skills sowie Erfahrung mit mindestens einem modernen Data Stack (z. B. Airflow, dbt, Spark/PySpark, Kafka) und Cloud-Datenplattformen &ndash; idealerweise AWS &ndash; inklusive Infrastructure-as-Code mit Terraform und GitOps/ArgoCD; sicherer Umgang mit Versionsverwaltung, Testing und Monitoring.</li><li>
Nachweislich effektiver Einsatz von AI im Software- und Data-Engineering, idealerweise mit Claude Code oder &auml;hnlichen agentischen Tools (Agents, Skills, Workflows) sowie Erfahrung im Design von AI-Pipelines, Harnesses und Context Engineering.</li><li>
Flie&szlig;endes Deutsch und flie&szlig;endes Englisch in Wort und Schrift, ausgepr&auml;gte Probleml&ouml;sungsst&auml;rke, Innovationsfreude, hohe Proaktivit&auml;t und ein unternehmerisches Mindset, das sich klar mit unserem Healthcare-Purpose und der Verantwortung f&uuml;r Patientensicherheit deckt.</li></ul>
Das kannst Du von uns erwarten:
<ul><li>Mobile Work: Arbeite flexibel an zwei Tagen pro Woche mobil und an 3 Tagen vor Ort.</li><li>
Attraktive Standorte: An unseren Standorten erwarten Dich neben voll ausgestatteten Arbeitspl&auml;tzen auch regelm&auml;&szlig;ige Events wie Sommerfeste und Weihnachtsfeiern.</li><li>
Entwicklung: Unsere Inhouse-Academy und unser Portfolio aus externen Kooperationspartnern unterst&uuml;tzen Dich in Deiner Weiterentwicklung.</li><li>
Gesundheit: Gesundheit ist f&uuml;r uns ein hohes Gut. In der hauseigenen Kantine gibt es jeden Tag eine Auswahl an leckeren und gesunden Gerichten und in unserem voll ausgestatteten Fitnessstudio hei&szlig;en wir Dich in w&ouml;chentlichen Kursen gerne willkommen.</li><li>
Mehr geht immer: Der Kindergarten auf unserem CGM-Campus in Koblenz unterst&uuml;tzt unsere Mitarbeitenden dabei, ihren Arbeitsalltag noch flexibler zu gestalten. Wir halten au&szlig;erdem Corporate Benefits, die M&ouml;glichkeit eines Jobrads, BAV u. v. m. f&uuml;r Dich bereit.</li></ul>
Vielfalt ist Teil von CGM! Wir freuen uns unabh&auml;ngig von Behinderung, Geschlecht, Nationalit&auml;t, ethnischer und sozialer Herkunft, Religion, Alter sowie sexueller Orientierung und Identit&auml;t auf Deine Bewerbung.
&Uuml;berzeugt? Bewirb Dich jetzt online mit Deinen aussagekr&auml;ftigen Bewerbungsunterlagen (inkl. Deiner Zeugnisse, Gehaltsvorstellung und n&auml;chstm&ouml;glichem Eintrittstermin).</div>

Senior Data Engineer (m/w/d)

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 around 65 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 looking for a Staff Security Engineer, Global SOC (all genders) to join the Security Engineering domain on our journey to always deliver amazing experiences. 
As a Staff Security Engineer within our Global SOC, you will be the technical anchor for our Security Monitoring and Threat Detection capabilities across a high-transaction food delivery and quick-commerce platform handling millions of daily orders. As a business spanning logistics, e-commerce, and FinTech, our environment is highly regulated, in this role you will build and govern the systems that ensure rapid, high-fidelity threat detection in compliance with global frameworks. 
You will operate at the intersection of a hands-on technical practitioner and a strategic engineering leader. We are looking for someone with a strong 'builder mindset' who views threat detection as a software engineering discipline. Instead of staring at dashboards, you will architect and define our log pipelines, SIEM &amp; SOAR infrastructure, and implement Detection Engineering methodologies as code. You will develop threat detection use cases, integrate Cyber Threat Intelligence, and build the automated triage workflows that seamlessly escalate validated, high-severity incidents to our CSIRT team for final containment. Ultimately, you will provide a robust, scalable detection platform globally.
Your mission:<ul><li>
Detection &amp; Platform Architecture: Architect, implement, strengthen and scale the Security Log Management (on AWS), SIEM and SOAR (Google SecOps) infrastructure. You will own the log ingestion pipelines, ensuring high availability, performance, and optimal retention based on business requirements.</li><li>
Engineering-Led Detection &amp; Automation: Architect, build, and maintain log ingestion pipelines, detection rules (e.g., YARA-L), API integrations, and SOAR workflows &amp; Plugins. You will lead the charge in treating &quot;Detection as Code&quot;, ensuring all alerts and automated enrichments are version-controlled, tested, and deployed through CI/CD pipelines.</li><li>
Cyber Threat Intelligence: Establish and integrate CTI capabilities to drive an intelligence-led detection strategy. You will map detections to the MITRE ATT&amp;CK framework and proactively hunt for threats specific to Delivery Hero and its entities.</li><li>
Triage &amp; Escalation Engineering: Design high-fidelity alert workflows. For all security events, you will ensure our automated systems gather, enrich, and seamlessly conduct the right response and containment workflow.</li><li>
Stakeholder Communication: Serve as the primary interface between the Global SOC and Engineering teams, CISOs, and the CSIRT team, translating complex detection &amp; response architectures, log ingestion pipeline requirements into clear technical and business terms.</li><li>
Mentorship &amp; Leadership: Act as a hands-on technical leader and role model, actively mentoring detection engineers and regional security teams to raise the overall technical bar and promote a collective security mindset.</li><li>
Metrics &amp; Strategic Visibility: Maintain a Data-Driven Strategic mindset to define, track, and improve core operational metrics (Log Pipeline Health, Alert Fidelity, True Positive Rates, MTTD) to identify systemic gaps and propose strategic security investments.</li><li>
On-Call: Participate in an on-call rotation focused on maintaining critical SIEM/SOAR infrastructure health, handling high-severity alert triage, and executing emergency escalations to CSIRT.</li></ul> 
Qualifications 
What you need to be successful:<ul><li>
7+ years of broad cybersecurity experience with a deep understanding of core security fundamentals, coupled with 5+ years of dedicated experience in a SOC or Threat Detection Engineering environment.</li><li>
Security Tool Mastery: Deep operational and architectural expertise with modern SIEM &amp; SOAR platforms (specifically Google SecOps / Chronicle), EDR and Cloud infrastructure (AWS/GCP),</li><li>
Engineering Skills: Proven experience utilizing Git/GitHub, CI/CD pipelines, to deploy rules, manage infrastructure and automation as code.</li><li>
CTI &amp; Triage Workflows: Strong background in operationalizing Cyber Threat Intelligence and building scalable alert triage processes that reduce false positives and prevent alert fatigue.</li><li>
Strategic Leadership: An exceptional communicator with the ability to influence cross-functional stakeholders (Regional Security Teams, Platform Engineering) and simplify complex systems across domains without requiring formal authority.</li><li>
Advanced Threat Detection (Cloud, Identity &amp; EDR): Proven deep operational experience triaging alerts and building high fidelity detections across public cloud environments (AWS/GCP), modern Identity Providers (e.g., Okta, Entra ID, Google Workspace), and EDR platforms (e.g., CrowdStrike, SentinelOne, Defender).</li><li>
AI &amp; Next-Gen Tooling: Experience integrating AI/LLM capabilities and MCP (Model Context Protocol) usage into Threat Detection and SOAR for automated alert triage, payload analysis, or data enrichment (highly regarded skill).</li></ul>
Nice to have:<ul><li>
Advanced Cyber Threat Intelligence: Experience building threat intel programs, managing intelligence platforms (e.g., MISP), and translating raw IOCs/TTPs into high-fidelity detection logic.</li><li>
Regulated Environment Expertise: Deep operational understanding of global cybersecurity and privacy frameworks (e.g., PCI-DSS, GDPR, NIS2, DORA, MAS TRM). You know how to implement logging, retention, and audit capabilities that meet strict regulatory compliance requirements.</li><li>
Relevant Technical Certifications: Active or in-progress industry-recognized technical certifications focused on security engineering, cloud architecture, or threat detection (e.g., AWS Certified Security/Solutions Architect, GCIA/GCDA/GMON, CISSP).</li></ul> 
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! 
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.cominclude it in your application. 
 
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.
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></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>

Staff Security Engineer, GSOC

smartclip

<div>
 
 
 Remote in our day-to-day work. On-site when it matters.
 
 
 
 We work remote by default &ndash; focused, efficient, and with full ownership. For larger features, architectural decisions, and real brainstorming sessions, we come together in Berlin &ndash; fast, hands-on, and without unnecessary meeting overhead.
 
 
 
 
 
 
 We use AI to accelerate &ndash; not to replace thinking.
 
 
 
 
 We design the system, steer the output, and take responsibility for what we ship.
 
 
 
 
 Fast where it makes sense. Careful where it matters.
 
 
 
 
 
 
 
 Your mission
 
 
 
 Join our team at smartclip as a
 
 Software Engineer, Data Platforms
 
 . You will design and build the engines that process, transform, and refine terabytes of TV and advertising data every single day. Your goal is to ensure our data platform is scalable, resilient, and cutting-edge.
 
 <ul>
 <li>
 
 Engineer Scalable Platforms:
 
 Design and implement technical solutions for Big Data applications in an agile, high-performance environment.
 </li>
 <li>
 
 Optimize Data Flows:
 
 Continuously develop and refine our data aggregation pipelines (TV data, advertising, and forecasting) primarily based on Spark and Scala.
 </li>
 <li>
 
 Cloud-Native Deployment:
 
 Host, manage, and scale your solutions using Docker and Kubernetes within the AWS cloud.
 </li>
 <li>
 
 Champion Quality:
 
 Lead the way in test automation &ndash; from unit tests to complex integration tests. For us, Test Driven Development (TDD) is the only way to build reliable systems.
 </li>
 <li>
 
 Tech Exploration:
 
 Evaluate new frameworks and tools, share your findings with the team, and help us stay at the forefront of Big Data technology.
 </li>
 </ul>
 
 
 
 
 
 Your skills
 
 
 
 
 You are a software engineer at heart
 
 who loves the challenge of massive scale &ndash; you turn the complexity of terabytes of data into elegant, efficient code.
 
 <ul>
 <li>
 
 Engineering Background:
 
 You have a solid track record in software engineering, with a strong focus on JVM languages (Scala/Java) and/or Python.
 </li>
 <li>
 
 Big Data Expertise:
 
 You are experienced with Spark, Hadoop, or similar distributed systems. Experience with Trino, Flowman, or Delta Lake will make you stand out.
 </li>
 <li>
 
 Infrastructure Knowledge:
 
 You are comfortable with CI/CD, Docker, Kubernetes, and AWS.
 </li>
 <li>
 
 Quality Mindset:
 
 You don&rsquo;t ship without tests. You value efficiency, clean architecture, and pragmatic solutions.
 </li>
 <li>
 
 Open Source Advocate:
 
 You love the freedom and transparency of open-source software (you won't find any closed-source or Microsoft stacks here).
 </li>
 <li>
 
 Mindset:
 
 A "let's figure it out" attitude, a hands-on mentality, and fluency in German and English.
 </li>
 </ul>
 
 
 
 
 
 Why you&rsquo;ll love working with us
 
 
 <ul>
 <li>
 
 Ownership over tickets:
 
 You&rsquo;re trusted with real responsibility, not just tasks. No unnecessary bureaucracy, no micromanagement &ndash; we rely on you to take things forward.
 </li>
 <li>
 
 Build &gt; Talk:
 
 We test what works &ndash; not what sounds good. Fail fast, learn faster.
 </li>
 <li>
 
 High standards, low ego:
 
 We take our work seriously, but not ourselves. Direct feedback, honest collaboration, no drama.
 </li>
 <li>
 
 Stay sharp:
 
 Hackathons, conferences, community &ndash; we invest in your growth and keep you at the cutting edge.
 </li>
 <li>
 
 And yes &ndash; the fundamentals are covered too:
 
 30 days of vacation + Dec 24 &amp; 31 off, Smart Fridays (4 days week possible), mobility (Germany ticket &amp; JobRad), sports &amp; health offerings, mental health support, corporate benefits, RTL+ access, and more.
 </li>
 </ul>
 
 
 
 
 
 Your CV is just the starting point.
 
 
 
 What matters more to us than your resume: a portfolio, a side project, a demo repo &ndash; anything that shows you don&rsquo;t just talk about code, you ship it. Production-ready. Thought through. Done.
 
 
 
 
 
 
 Welcome to smartclip! We&rsquo;re just your average group of techies, you know, trying to keep the internet open and defend the European TV industry from Silicon Valley&rsquo;s giants. Join us!
 
 
 
 
 
 
 
 About smartclip
 
 
 
 smartclip is the adtech development unit of RTL Group &mdash; Europe&rsquo;s leading free-to-air broadcaster group. Our proprietary advertising technology is custom-built for the needs of European broadcasters and publishers &mdash; enabling media owners to implement smarter monetisation strategies. We are committed to delivering the most innovative ad experiences spanning in-stream, out-stream, addressable TV, connected TV, audio, and gaming &mdash; ultimately empowering brands with true cross-screen storytelling opportunities on all devices.
 
 
 
 
 
 For more information: Please visit www.smartclip.tv and follow us on LinkedIn.
 
 
 
 
 
 
 Location:
 
 Berlin or Hybrid (max. 3 hours travel time to Berlin)
 
</div>

Software Engineer (f/m/d) – Data Platforms

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)

Explore 111+ Data pipeline engineer in Berlin this July. Find roles across top companies and apply now to boost your career.