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(senior) data engineer (gn) Jobs in Berlin

(senior) data engineer (gn)

senior database engineer

Talon.One LinkedIn Jobs

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

Senior Data Engineer

Helios Kliniken GmbH

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


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

The Quality Group

<p></p><div><p>Start: Immediately | Level: Mid - Senior | Location: Germany, remote | Working Hours: Full Time (40h/Week)</p><br>
<p>
We're looking for a (Senior) Data Engineer (gn) who's ready to leave a real mark. You'll take ownership of our data platform, drive the architecture of scalable and reliable data products &ndash; and play a central role in shaping our Data Warehouse to the next level. As the core of our data hub, you'll connect teams, technologies, and insights, setting the technical direction for how we work with data across the entire organisation.</p>
<h3 class="jobSectionHeader"><b>
Your mission</b></h3>
<ul><li>You design and own the architecture of our end-to-end data platform, including ingestion, transformation, and serving layers</li>
<li>You lead the development of robust data pipelines using Fivetran, Airbyte, and Python &ndash; setting engineering standards for the team</li>
<li>You drive data modeling excellence in Databricks using advanced SQL, dbt, and data quality frameworks like elementary</li>
<li>You define and enforce data quality standards, ensuring reliable data marts that power business-critical decisions</li>
<li>You act as technical lead, collaborating closely with the Product Owner and Business Insights team on complex data challenges</li>
<li>You own and evolve our cloud infrastructure on AWS, driving infrastructure-as-code with Terraform (IaC)</li></ul><p><br>
</p><h3 class="jobSectionHeader"><b>Your experience &amp; skills</b></h3>
<ul><li>You have several years of hands-on experience as a Data Engineer, ideally in a cloud-native environment</li>
<li>You're proficient in SQL, Python, dbt, and Git &ndash; and have a strong track record of building production-grade pipelines</li>
<li>You bring experience with cloud platforms (AWS preferred) and tools like Databricks, Fivetran, or Airbyte</li>
<li>You have a deep understanding of data modeling, data warehouse design, and data quality best practices</li>
<li>You're a strong communicator who can bridge the gap between engineering and business stakeholders</li>
<li>You're self-driven, take ownership end-to-end, and thrive in a remote, async-first environment</li>
</ul><h3 class="jobSectionHeader"><b>Why choose us?</b></h3>
<p>
Being part of our team means joining a high-performing company with a diverse and inclusive culture. In our fast-growing team of over 1,200 employees, we combine our passion for sports nutrition, supplements, and healthy foods with cutting-edge technology, production, and logistics processes. All of this serves one goal: providing our customers with top-quality products to support their healthy and active lifestyle.</p>
<p>
You can look forward to a strong sense of team spirit, ongoing opportunities for professional growth and responsibility, and an exciting work environment that blends lifestyle and career. With locations in Hamburg, Elmshorn, Kaltenkirchen/N&uuml;tzen, and Elsdorf, TQG offers diverse career opportunities in areas such as technology, product development, sales, marketing, and logistics. Additionally, you'll benefit from:</p>
<ul>
<li>Flexible working hours and remote work options</li>
<li>Attractive employee discounts</li>
<li>Subsidy for the E-gym Wellpass</li>
<li>Workation</li>
<li>Corporate benefits</li>
<li>28 days vacation/year</li>
<li>and much more</li></ul><br>
<p></p>
<h3 class="jobSectionHeader"><b>
About Us</b></h3>
<p>
The Quality Group (TQG) is an innovative provider of sports nutrition products, bringing together the successful brands <b>ESN </b>and <b>More Nutrition </b>since 2021.</p>
<p><b>
ESN </b>has been the German market leader in sports nutrition since 2004, offering products like protein powders, bars, and supplements designed for ambitious fitness goals. Founded in 2017, <b>More Nutrition</b> focuses on healthy, reduced-sugar foods, providing solutions for conscious nutrition and weight management without compromise.</p>
<p>
TQG's vision is to help people become the best version of themselves. With passion and innovation, the company develops high-quality products that promote health, performance, and joy in life. Its agile company culture and exciting career opportunities make TQG a strong partner not only for customers but also for employees.</p>
<p><b>
This is us &ndash; The Quality Group &ndash; nice to meet you! Now it's your turn!</b><br>
We look forward to your application! Regardless of gender, age, background, or identity &ndash; what matters to us is who you are and what you bring to the table. Join our team and grow with us!</p></div><p></p>

(Senior) Data Engineer (gn)

Future Energy Services GmbH

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

Flix

<div>
 We&rsquo;re looking for a
 <strong>
  Data Platform Engineer (m/f/d)
 </strong>
 to join our team and help build and operate the data infrastructure that powers Flix&rsquo;s mobility platform.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About You
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice To Have
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </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!
 <br/>
 <br/>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 To view more local benefits specific to each office location, please check out this link:
 <strong>
  Locations - Flix Career
  <br/>
  <br/>
 </strong>
 <strong>
  Why Join Flix?
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 As we continue to expand across the globe, you can make a real difference in how we work.
 <br/>
 <br/>
 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)

Thomann

<div><p>Thomann.io is forging its digital path forward in the ever-growing eCommerce landscape. As new challenges and opportunities arise on a daily basis, we are searching for new, energetic individuals to join our Storefront team responsible for supporting our customers by focusing on user engagement and conversion.</p><p>
Primary responsibilities involve developing and maintaining customer-facing features and components across Content Management, Advertising and Customer Relations. Additionally, promotional product pages, marketing features and SEO initiatives will fall under the ownership of our team.</p><p>
To expand our team, we are seeking another Senior Backend Engineer (f/x/m) proficient in PHP and Backend technologies.</p><p>
We work remote, distributed, together: Whether fully remote within Germany or on-site in our offices in Berlin &amp; Erlangen - always as a team, always customer-oriented and data-driven.</p><p>
You can find our techstack here: Insights.</p><p></p><h3 class="jobSectionHeader"><b><br>
Here&rsquo;s what you&rsquo;ll be doing</b></h3><ul><li>
We are constantly working on improving our customers&rsquo; satisfaction through landing pages, specialized tools for accessing our assortment, helpful content and guides, as well as easily reachable contact points to our customer service.</li><li>
You&rsquo;ll drive pivotal projects from development to production launch, including landing pages enhancements and expansion of marketing campaign features.</li><li>
Implementation and maintenance of new and existing Product features.</li><li>
We conduct thorough automated unit and integration tests to maintain high-quality standards, extended with manual testing as well. Quality assurance is a top priority for us.</li><li>
You&rsquo;ll help propel the team forward, leading technical solution planning and ensuring project goals are met within expected timelines</li><li>
You&rsquo;ll engage and collaborate with stakeholders and other engineering teams on business-critical projects and features</li></ul><h3 class="jobSectionHeader"><b>
What you should bring to the table</b></h3><ul><li>
At least 5 years of current work experience as a Backend Engineer working with PHP</li><li>
Proficiency in OOP concepts, common design patterns, and complex database structures</li><li>
Fluency in testing frameworks such as PHPUnit</li><li>
Experience with common PHP frameworks such as Symfony is advantageous</li><li>
Experience in managing code and dependencies with Git &amp; composer</li><li>
Hands-on experience with React is a plus, but not required</li></ul><p></p><h3 class="jobSectionHeader"><b>
Our tech stack</b></h3><ul><li>
Shop-Backend: We are on PHP 8.4. We take full responsibility for our framework and adhere to established standards (e.g. PSR) during development.</li><li>
Shop-Frontend: We use React &amp; Typescript on the client side while leveraging Tailwind for styling and design.</li><li>
MySQL &amp; Memcached provide our customers with reliable and fast data.</li></ul><p></p><h3 class="jobSectionHeader"><b>
What we have to offer</b></h3><ul><li>
Flexible working hours and location, with the option to go into the office (fully-remote within Germany possible)</li><li>
13th salary in November</li><li>
Further training opportunities with clear development paths for your career</li><li>
Thomann.de employee discount</li><li>
Personal work equipment according to your wishes and regarding your role</li><li>
Regular team events</li><li>
English or German language courses</li><li>
1:1 sessions with an external coach, for professional development</li><li>
Urban Sports Club or ClassPass discount</li><li>
and more! Check out our Handbook<br>
</li></ul><h3 class="jobSectionHeader"><b>
We value inclusion and diversity</b></h3><p>
We pride ourselves on being an inclusive employer that creates a welcoming atmosphere, and value diversity in our teams. We do not make judgements based on ethnicity, nationality, age, marital status, gender identity, sexual orientation, disability status, or religion.</p></div>

Senior Backend Engineer (f/x/m) Storefront

Cresta

<div>
 Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta&rsquo;s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world&rsquo;s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day.
 <br/>
 <br/>
 Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world&rsquo;s leading investors, including a16z, Greylock, and Sequoia. Cresta&rsquo;s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu, founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences.
 <br/>
 <br/>
 Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As a Senior full-stack engineer, with a backend focus, you will be at the forefront of shaping the future of customer engagement! As we work towards our vision, you'll be instrumental in delivering timely, actionable insights that drive business growth from day one. We're building a state-of-the-art Customer Data Platform, visualizing relevant insights for businesses post-onboarding and guiding customer engagement across all touch-points. Be part of the team that's redefining the way businesses connect with their customers!
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and maintain backend services and APIs to support applications.
  </li>
  <li>
   Build and optimize data storage solutions using Postgres, ClickHouse and Elasticsearch to ensure high performance and scalability.
  </li>
  <li>
   Collaborate with cross-functional teams, including frontend engineers, data scientists, and machine learning engineers, to deliver end-to-end solutions.
  </li>
  <li>
   Monitor and troubleshoot performance issues in distributed systems and databases.
  </li>
  <li>
   Write clean, maintainable, and efficient code following best practices for backend development.
  </li>
  <li>
   Participate in code reviews, testing, and continuous integration efforts.
  </li>
  <li>
   Ensure security, scalability, and reliability of backend services.
  </li>
  <li>
   Analyze and improve system architecture, focusing on performance bottlenecks, scaling, and security.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications We Value
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven experience as a Backend Engineer with a focus on database design and system architecture.
  </li>
  <li>
   Strong expertise in ClickHouse or similar columnar databases for managing large-scale, real-time analytical queries.
  </li>
  <li>
   Hands-on experience with Elasticsearch for indexing and searching large datasets.
  </li>
  <li>
   Proficient in backend programming languages such as Python, Go.
  </li>
  <li>
   Experience with RESTful API design and development.
  </li>
  <li>
   Solid understanding of distributed systems, microservices architecture, and cloud infrastructure.
  </li>
  <li>
   Experience with performance tuning, data modeling, and query optimization.
  </li>
  <li>
   Strong problem-solving skills and attention to detail.
  </li>
  <li>
   Excellent communication and teamwork abilities.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Perks &amp; Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Paid parental leave to support you and your family
  </li>
  <li>
   Monthly Health &amp; Wellness allowance
  </li>
  <li>
   Work from home office stipend to help you succeed in a remote environment
  </li>
  <li>
   Lunch reimbursement for in-office employees
  </li>
  <li>
   PTO: 28 days in Germany
   <br/>
   <br/>
  </li>
 </ul>
 Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. Your recruiter can provide further details.
 <br/>
 <br/>
 We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai
</div>


Senior Software Engineer, Backend (Berlin)

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