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senior data engineer

data infrastructure 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

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)

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>

Freenow

<div>
 <strong>
  <em>
   Location
  </em>
 </strong>
 <em>
  : We are flexible! Come and join us either in Hamburg, Berlin or Barcelona.
  <br/>
  <br/>
 </em>
 FREENOW empowers smarter mobility decisions helping people to move freely and cities to thrive.
 <br/>
 <br/>
 We're seeking a talented Analytics Engineer (m/f/d) to join our Data Team and collaborate with Data Analysts, Developers, and Data Scientists, in implementing a Data Mesh architecture that will enable our domains to access trusted data to unlock business opportunities easily.
 <br/>
 <br/>
 Imagine empowering teams with the data they need to make game-changing decisions. Data puzzles excite you? Do you thrive in a collaborative environment where you can shape the future of data infrastructure? If so, we want you!
 <br/>
 <br/>
 Be ready to work in a multinational, diverse, highly motivated, and collaborative team of passionate data professionals who strive for excellence and like to have fun. Are you ready for your next ride?
 <br/>
 <br/>
 <strong>
  YOUR DAILY ADVENTURES WILL INCLUDE:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Providing expertise and collaborating with stakeholders to develop new data products and improve on existing ones in a Data Mesh environment
  </li>
  <li>
   Continuously engaging with data analysts, data scientists, and software engineers to gain an understanding of the problems that need to be solved, gathering requirements, and defining the best deliverables to match the business needs
  </li>
  <li>
   Working hand-in-hand with developers to create and capture data that aligns with business logic, enabling powerful modeling and analysis
  </li>
  <li>
   Own the quality, availability, and trustworthiness of data by applying data quality checks and data contracts
  </li>
  <li>
   Performing data analysis to troubleshoot data-related issues and assist in resolving them
  </li>
  <li>
   Designing, building and maintaining the definitive source of truth for KPIs, empowering strategic decisions across all domains
  </li>
  <li>
   Working towards the creation of an environment where self-service capabilities are available and data can be accessible by everyone
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our Tech Tools
 </strong>
 : SQL | Python | Databricks | Tableau | Mixpanel | Airflow | AWS | Kafka | Debezium
 <br/>
 <br/>
 <strong>
  TO BE SUCCESSFUL IN THIS ROLE:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You have curiosity in your essence, aligned with attention to detail
  </li>
  <li>
   Previous experience in working in a data-driven analytics environment, preferably within tech product organizations
  </li>
  <li>
   Expert level of SQL (especially SparkSQL) and experience in building data pipelines is a core requirement.
  </li>
  <li>
   You have good knowledge of at least one programming language and are happy to learn more. Our core language is Python.
  </li>
  <li>
   Exceptional analytical skills, lateral thinking, and proven experience in solving highly challenging problems
  </li>
  <li>
   Experience in working with data visualization tools (e.g.Tableau, Qlikview) and event tracking (e.g. Mixpanel, Google Analytics)
  </li>
  <li>
   Excellent English communication skills
  </li>
  <li>
   Hands-on experience with AWS, Hive, Spark, Trino, Databricks, and Airflow is helpful
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  BENEFITS &amp; PERKS IN A NUTSHELL:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Flexible working arrangements
  </li>
  <li>
   LinkedIn Learning
  </li>
  <li>
   Sabbatical &amp; special leave policies
  </li>
  <li>
   WeRoad partnership
  </li>
  <li>
   Birthday, 24th + 31st December off
  </li>
  <li>
   Short term EU work policy
  </li>
  <li>
   Mobility Credit
  </li>
  <li>
   Health insurance
  </li>
  <li>
   Employee assistance program
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Plus more local benefits depending on your work location!
  <br/>
  <br/>
 </strong>
 <strong>
  DIVERSITY, EQUITY &amp; INCLUSION:
  <br/>
  <br/>
 </strong>
 FREENOW is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age.
 <br/>
 <br/>
 We want you to grow and evolve, bring your true self to work.
 <br/>
 <br/>
 <strong>
  ABOUT US:
  <br/>
  <br/>
 </strong>
 Freenow by Lyft empowers smarter mobility decisions, helping people to move freely and cities to thrive. Through our multi-mobility app, we feature broad options for everyone across 9 European markets and over 180 cities. Millions of passengers can access services including taxis, private hire vehicles, carsharing, car rental, e-scooters, e-bikes, e-mopeds, and public transport within a single app.
 <br/>
 <br/>
 In July 2025 Freenow was acquired by Lyft, a global mobility platform, which connects riders and drivers for billions of rides across North America and Europe. Together, Freenow and Lyft are creating a more caring and connected world, with transportation for everyone. We are a global, diverse, highly motivated, and collaborative team that strives for excellence and likes to have fun. Ready for your next ride?
</div>


Analytics Engineer

Upvest

<div><p>At Upvest, we are on a <b>mission to make investing as easy as spending money</b>. Upvest empowers businesses to offer a wide range of investment products and the best experience in the field of capital market investment and retirement planning. Upvest&rsquo;s Investment API is easy to integrate so that fintechs and financial institutions can save resources and fully focus on their core business.</p><p>
We are proud to partner with Europe&rsquo;s leading Fintechs and financial institutions such as DKB, Revolut, N26 and Raisin. Founded in 2017 by Martin Kassing, Upvest now brings together over 270 talented professionals from more than 70 nationalities. Upvest is backed by &euro;280M in total funding from world-class investors, including BlackRock, Tencent, Sapphire Ventures, and Bessemer Venture Partners, Earlybird, Notion Capital, and Motive. Our latest &euro;105M funding round in March 2026 - led by Sapphire and Tencent - serves as a massive catalyst for our growth, allowing us to offer premier investment experience.</p><p></p><h1 class="jobSectionHeader"><b>
About the role:</b></h1><p>
Upvest's data platform powers near real-time financial analytics about operations across trading, payments, risk, and compliance. We're building the next generation of our data infrastructure - an Iceberg-backed Lakehouse and CDC-powered pipelines that give engineers, analysts, and business users a single, reliable place to work with data at scale. You'll own our Kafka consumer and CDC pipelines, help architect and deliver the Lakehouse foundation, and act as a trusted consultant for data integration, modelling, and schema design across the organization. If you care about reliability, scalability, and lowering the barrier to working with data - this is your role.</p><p>
We are open to hire remotely in Europe for this role.</p><div><br>
</div><h1 class="jobSectionHeader"><b>
What you&rsquo;ll do:</b></h1><ul><li><p>
Own and improve the Kafka consumer pipeline that captures, transforms, and warehouses event data</p></li><li><p>
Design and build CDC-based pipelines to capture and replicate changes from source systems into the data platform</p></li><li><p>
Design, build and maintain foundational data serving layers that scale and serve the use cases of engineering and analytics alike</p></li><li><p>
Act as a data consultant across the organization - advising on data integration, modelling, and schema design for teams building on or contributing to the platform</p></li><li><p>
Deliver self-service data solutions that enable engineers, analysts, and business users to work with the data platform independently</p></li><li><p>
Drive data observability: set up tests, metrics, and alerting for pipeline health and data quality using observability tooling such as Datadog</p></li><li><p>
Work closely with product engineering teams to ensure reliable, timely data availability</p></li><li><p>
Champion data culture - share knowledge, establish best practices, and help teams understand and trust their data</p></li></ul><p></p><h1 class="jobSectionHeader"><b><br>
What you bring:</b></h1><ul><li><p>
Strong experience building and operating event-driven data pipelines, ideally with Kafka or similar streaming infrastructure</p></li><li><p>
Experience with Python, Go or another systems-level language for building data infrastructure</p></li><li><p>
Solid SQL skills for data transformation, modelling, and staging layer development</p></li><li><p>
Familiarity with infrastructure-as-code tooling such as Terraform for managing cloud resources</p></li><li><p>
Experience working with cloud providers such as GCP, AWS, or Azure (we run primarily on GCP)</p></li><li><p>
Experience with schema design and data modelling principles - able to advise teams across the organization</p></li><li><p>
Experience setting up data observability and monitoring (Datadog, Grafana, Prometheus, etc.)</p></li><li><p>
A product and consulting mindset - able to understand the needs of engineers, analysts, and business users and translate them into platform solutions</p></li><li><p>
Strong communication skills and ability to promote data literacy across the organization</p></li></ul><p></p><h1 class="jobSectionHeader"><b><br>
It&rsquo;s great if you have:</b></h1><ul><li><p>
Experience with or strong interest in CDC tooling (Debezium, Fivetran, or similar)</p></li><li><p>
Familiarity with open table formats such as Apache Iceberg, Delta Lake, or Hudi - or strong interest in growing into this space</p></li><li><p>
Experience with building Agentic AI</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
How we Upvest in you:</b></h1><ul><li><p><b>
Best-in-class AI tools: </b>Every Upvenger has &euro;20,000 per year to spend on the best AI tools available &mdash; so you're always working with the most powerful models and tooling on the market.</p></li><li><p><b>
Impact-driven work:</b> We&rsquo;re building the infrastructure that will power the future of investing in Europe. It&rsquo;s complex, ambitious, and meaningful. You&rsquo;ll work with modern technologies and create something entirely new. No legacy systems, no limits.</p></li><li><p><b>
Wellbeing:</b> Recharge with 30 days of annual leave and maintain a healthy lifestyle with sports benefits. Access confidential professional coaching and enjoy the flexibility to work remotely abroad for up to 183 days a year. Recharge with UpRest, a one-month fully paid sabbatical after every 4 years of working at Upvest.</p></li><li><p><b>
Development:</b> Growth is in our DNA. Each Upvenger has access to a personal development budget and the freedom to decide how to use it.</p></li><li><p><b>
Flexible work environment:</b> Work from any of our hubs in Berlin, London or Tallinn hybrid or remotely across Europe, depending on the role. We give you the choice and budget to work where you&rsquo;re most comfortable and productive, either at home or in the office. You choose.</p></li><li><p><b>
Compensation and equity:</b> We believe that all Upvengers contribute to our success and deserve a competitive, above-market salary and a participation in our employee equity program.</p></li><li><p><b>
Team celebrations:</b> Participate in company-wide events, such as UpFest, dinners, offsites and our Holiday party, to connect with colleagues and celebrate our achievements.</p></li><li><p><b>
Inclusion</b>: We&rsquo;re committed to a culture where everyone belongs and thrives. Our Employee Resources Groups foster inclusion and connection, like Upfem for our female Upvengers, or UpVergent supporting neurodivergent Upvengers and allies.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Our Values:</b></h1><ul><li><p><b>
Make it easy for others.</b> We simplify the complex and act with the best intentions.</p></li><li><p><b>
Own the outcome.</b> We are proactive, fast and confident to get the job done, valuing progress over perfection.</p></li><li><p><b>
Rise to the challenge.</b> We aim high and push the boundaries. We stay curious, learn and celebrate our wins together.</p></li><li><p><b>
Tell the story.</b> We start with the Why to align on purpose. We are transparent and share knowledge to empower and inspire others.</p></li></ul><p>
Upvest is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</p></div>

Senior Data Product Engineer (f/m/d)

ALMETRA

<div><p><b>Platform Engineer</b></p><p>
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.</p><p></p><p><b>
What you'll do</b></p><ul><li><p>
Design and maintain cloud infrastructure on AWS using Terraform</p></li><li><p>
Own and improve CI/CD pipelines for fast, safe deployments</p></li><li><p>
Manage and scale Kubernetes clusters</p></li><li><p>
Improve developer experience &mdash; making it easy for teams to ship and debug</p></li><li><p>
Implement monitoring, logging and alerting for full observability</p></li><li><p>
Configure and optimise CDN infrastructure</p></li></ul><p></p><p><b>
You are</b></p><ul><li><p>
8-10 years of experience in DevOps, SRE or platform engineering roles</p></li><li><p>
Expertise in AWS</p></li><li><p>
Proficient with Terraform and infrastructure-as-code workflows</p></li><li><p>
Experienced in building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins or similar)</p></li><li><p>
Solid understanding of Kubernetes &mdash; deployment, networking, scaling and troubleshooting</p></li><li><p>
Strong sysadmin fundamentals &mdash; Linux, networking, storage and configuration management</p></li><li><p>
Comfortable working with relational databases (PostgreSQL, MySQL) and time series databases (TimescaleDB, Prometheus)</p></li><li><p>
A clear communicator who works well across engineering and data science teams</p></li><li><p>
Pragmatic and reliable &mdash; you know when to move fast and when to be careful</p></li></ul><p></p><p><b>
Nice to have</b></p><ul><li><p>
Experience supporting ML infrastructure &mdash; model deployment, GPU workloads or training pipelines</p></li><li><p>
Background in CDN configuration (CloudFront, Fastly, Cloudflare)</p></li><li><p>
Familiarity with streaming data or video processing systems</p></li><li><p>
Interest in MLOps and bridging the gap between ML research and production</p></li></ul><p></p><p><b>
Why this role matters</b></p><p>
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.</p><p></p><p>
#LI-SP1 #LI-Hybrid</p><p><b>
What we offer</b></p><p>
Employee Share Options Program for all permanent employees*</p><p>
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.</p><p>
Be on the forefront in defining what artificial intelligence means in manufacturing</p><p>
Gain hands-on experience in working in an AI-first software company
</p><p>Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company</p><p>
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact</p><p>
Network with professionals and leaders in the field, opening doors to potential future career opportunities</p><p>
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours</p><p>
Ethics: We are committed to developing ethical AI software<br>
<br>
<b>Don't meet all the requirements?</b></p><p><i>
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.</i></p><ul><li><br>
<i>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.</i></li></ul><p>
Compensation Range: &euro;70K - &euro;85K</p></div>

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Ashby

Staff Platform Engineer, EU

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