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senior data engineer

Talon.One LinkedIn Jobs

<div><div>ABOUT TALON.ONE: 


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.

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.</div> 


ABOUT THE TEAM:

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.

ABOUT THE ROLE:

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. 


ONCE YOU ARE HERE YOU WILL: 

<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>
WHAT WE NEED YOU TO BRING TO THE TABLE:
<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> 


ABOUT TECHNOLOGY:
<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> 

<div>
WHAT'S IN IT FOR YOU:</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>

Senior Data Engineer

Future Energy Services GmbH

<div><h1 class="jobSectionHeader">Senior Data Engineer</h1><div></div><div> 
</div><h2 class="jobSectionHeader">
About trawa</h2><div></div> 
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.<div></div> 
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.<div></div> 
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.<div></div><div> 
</div><h2 class="jobSectionHeader">
The Team</h2><div></div> 
Data Intelligence (DINTEL) 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.<div></div><div> 
</div><h2 class="jobSectionHeader">
About the Role</h2><div></div> 
We're looking for a Senior Data Engineer 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.
You'll mentor teammates and be supported by experienced engineering leaders as you continue to grow your own leadership and technical skills. 
 
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.<div></div><div> 
</div><h2 class="jobSectionHeader">
What You'll Do</h2><div></div><ul><li> 
Lead the design, implementation, and operation of critical data pipelines and platform infrastructure on AWS</li><li>
Define and evolve data quality standards, observability practices, and operational controls across the platform</li><li>
Lead cross-team technical discussions and help align stakeholders on data platform architecture decisions</li><li>
Deliver large-scale technical initiatives end-to-end, from design through delivery, collaborating with teams across the business</li><li>
Shape the team's technical culture through code reviews, mentorship, knowledge sharing, and documentation</li><li>
Evolve our analytics and BI tooling (ClickHouse, Metabase) to support business intelligence and decision-making</li><li>
Build and maintain data pipelines using Python (pandas, polars), dbt, and dlt</li><li>
Identify and address technical debt, improving platform reliability, scalability, and developer experience</li><li>
Communicate the value and impact of platform improvements to engineering and business stakeholders</li><li>
Diagnose and resolve complex data and performance challenges across multiple systems and services</li></ul><div></div><div> 
</div><h2 class="jobSectionHeader">
Your First 90 Days</h2><div>
</div><h3 class="jobSectionHeader">
First 6 Weeks - Getting Oriented</h3><ul><li>
Build context across the data platform, including AWS, dbt, dlt, PostgreSQL, ClickHouse, and Python services</li><li>
Begin contributing to production systems and taking ownership of key platform components</li><li>
Build relationships with engineers and stakeholders across the business to understand data needs, priorities, and opportunities for improvement</li></ul><h3 class="jobSectionHeader">
By Month 3 - Building Momentum</h3><ul><li>
Take ownership of significant platform components and drive improvements with growing independence</li><li>
Begin leading a cross-team initiative with support from your manager and teammates, helping align stakeholders around a clear plan</li><li>
Identify and begin implementing a meaningful improvement to platform reliability, observability, or scalability</li></ul><div></div><div> 
</div><h2 class="jobSectionHeader">
What You'll Gain</h2><div></div><ul><li> 
Ownership of a production data platform that directly powers trawa's energy trading, invoicing, and analytics</li><li>
The opportunity to work closely with engineering and business stakeholders on high-impact initiatives with company-wide visibility</li><li>
A chance to shape technical culture and contribute to the evolution of engineering practices across the Data Intelligence team</li><li>
Deep expertise across a modern data stack, including AWS, Python (pandas, polars, FastAPI), dbt, dlt, PostgreSQL, ClickHouse, and Metabase</li><li>
Support in growing your technical and leadership skills, with a clear progression framework and meaningful opportunities for advancement</li></ul><div></div><div> 
</div><h2 class="jobSectionHeader">
What We're Looking For</h2> 
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.<h2 class="jobSectionHeader"> 
Core Requirements</h2><ul><li>
5+ years of experience in data engineering or a related field</li><li>
Strong SQL and Python skills</li><li>
Experience building and operating production data systems</li><li>
Experience collaborating across teams to deliver technical projects</li></ul><div> 
</div><h2 class="jobSectionHeader">
Nice to have</h2><div></div><ul><li> 
Hands-on experience with parts of our stack, including dbt, dlt, ClickHouse, PostgreSQL, Metabase, or AWS</li><li>
Experience with workflow orchestration tools such as Airflow</li><li>
Familiarity with energy markets, time-series data, or operational data platforms</li><li>
Experience in a technical leadership role</li></ul><h2 class="jobSectionHeader">
What Helps You Succeed Here</h2><ul><li>
Experience designing scalable and reliable data systems</li><li>
Enjoy mentoring and supporting the growth of teammates</li><li>
Comfort navigating ambiguity and helping bring clarity to complex problems</li><li>
Strong communication and stakeholder-management skills</li></ul><div></div><div> 
</div><h2 class="jobSectionHeader">
Why Join Us</h2><div></div> 
Real impact - 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.<div></div> 
Early ownership - We give team members responsibility from day one. You won't be shadowing - you'll be shipping.<div></div> 
Mentorship that matters - Regular leadership sessions, cross-functional exposure, and engineers who are genuinely invested in your growth.<div></div> 
Learning culture - Annual learning budget, dedicated development time, and a team that takes knowledge-sharing seriously.<div></div> 
Inclusive by design - 15+ nationalities, family-friendly policies, and a genuine commitment to building a place where everyone can do their best work.<div></div> 
Solid benefits - A competitive package covering wellbeing, learning, and team experiences.</div>

The Quality Group

<div>Start: Immediately | Level: Mid - Senior | Location: Germany, remote | Working Hours: Full Time (40h/Week) 

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.
<h3 class="jobSectionHeader">
Your mission</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> 
<h3 class="jobSectionHeader">Your experience &amp; skills</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">Why choose us?</h3>

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.

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:
<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> 

<h3 class="jobSectionHeader">
About Us</h3>

The Quality Group (TQG) is an innovative provider of sports nutrition products, bringing together the successful brands ESN and More Nutrition since 2021.

ESN 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, More Nutrition focuses on healthy, reduced-sugar foods, providing solutions for conscious nutrition and weight management without compromise.

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.

This is us &ndash; The Quality Group &ndash; nice to meet you! Now it's your turn! 
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!</div>

(Senior) Data Engineer (gn)

RSG Group GmbH

<div>
 
 Mit mehr als 4,5 Millionen Mitgliedern in ihren Studios ist die
 
 RSG Group
 
 eines der weltweit f&uuml;hrenden Unternehmen im Bereich Fitness. Die 1997 von Rainer Schaller gegr&uuml;ndete - und sich nach wie vor im Familienbesitz befindende - RSG Group hat sich zu einem international t&auml;tigen Unternehmen entwickelt. Inklusive ihrer Franchisenehmer besch&auml;ftigt sie 10.000 Mitarbeitende an &uuml;ber 900 Standorten und ist in mehr als 30 L&auml;ndern vertreten. Das umfangreiche und zukunftsorientierte Portfolio umfasst 9 innovative Marken, dazu z&auml;hlen unter anderem Gold's Gym, McFIT und die JOHN REED Family. Die RSG Group setzt immer wieder neue Ma&szlig;st&auml;be und sorgt somit daf&uuml;r, wesentlicher Bestandteil des aktiven Alltags ihrer Kundinnen und Kunden zu sein.
 
 
 
 
 
 
 WAS DU GEWINNST
 
 
 
 
 
 <ul>
 <li>
 
 Sei du selbst:
 
 Komm so, wie du bist &ndash; bei uns wird Individualit&auml;t gesch&auml;tzt.
 </li>
 <li>
 
 Sichere Zukunft:
 
 Ein unbefristetes Besch&auml;ftigungsverh&auml;ltnis bietet dir Stabilit&auml;t und Sicherheit.
 </li>
 <li>
 
 Work-Life-Balance:
 
 Nutze die Home-Office-Option und flexible Arbeitszeiten, um Arbeit und Privatleben optimal zu gestalten.
 </li>
 <li>
 
 Fit und gesund:
 
 Nutze die kostenlose Mitgliedschaft bei McFIT, John Reed und Gold&rsquo;s Gym europaweit.
 </li>
 <li>
 
 Verschenke Fitness:
 
 Schenke einer Person aus deinem Bekanntenkreis eine Mitgliedschaft bei McFIT, John Reed und Gold&rsquo;s Gym europaweit.
 </li>
 <li>
 
 Extra Verg&uuml;tung:
 
 Freu dich auf 13 Geh&auml;lter inklusive Urlaubs- und Weihnachtsgeld.
 </li>
 <li>
 
 Mobilit&auml;t vs. Shoppen:
 
 Sichere dir anteilig dein Jobticket oder einen sachbezogenen Voucher. Zudem erwarten dich Shoppingrabatte bei unseren Partnern.
 </li>
 <li>
 
 Teamgef&uuml;hl:
 
 Erlebe flache Hierarchien und eine offene Kommunikation auf Augenh&ouml;he. Nimm an regelm&auml;&szlig;igen Team- und Firmenevents teil und st&auml;rke den Zusammenhalt. Verbringe entspannte Pausen in unserer voll ausgestatteten K&uuml;che, ideal f&uuml;r gemeinsame Feierlichkeiten.
 </li>
 </ul>
 
 
 
 
 
 WAS DU BEI UNS BEWEGST
 
 
 
 
 
 
 Du wirst Teil eines kleinen, hoch spezialisierten Data-Teams (4 Engineers + Head of Data), das die zentrale Cloud-Datenplattform der RSG Group betreibt und weiterentwickelt &ndash; die Datenbasis hinter Marken wie McFIT, JOHN REED und Gold's Gym.
 
 
 Im Team arbeiten heute Kolleg:innen mit klaren Schwerpunkten in Governance &amp; Architektur, Data Science, AI/NLP und MarTech. Du erg&auml;nzt dieses Setup als technischer Allrounder mit Engineering-Tiefe &ndash; jemand, der die Plattform end-to-end versteht, L&uuml;cken zwischen den Spezialgebieten schlie&szlig;t und das technische Gesamtniveau hebt.
 
 
 Diese Rolle umfasst folgende Aufgabenbereiche:
 
 
 
 
 <ul>
 <li>
 
 ELT-Plattform weiterentwickeln:
 
 Du gestaltest unsere ELT-Strecke von der weitgehend automatisierten Quellanbindung (Fivetran) &uuml;ber die Transformation (Coalesce) bis zum Datenmodell im Snowflake-DWH mit &ndash; inklusive Performance, Skalierbarkeit und Cost Management.
 </li>
 <li>
 
 Datenmodellierung mit Substanz:
 
 Du arbeitest aktiv an unserer Modellierung (Data Vault 2.0, Star/Snowflake Schema) und stellst sicher, dass sie wartbar und konzerntauglich bleibt &ndash; im engen Austausch mit unserem Architecture-Lead.
 </li>
 <li>
 
 Predictive Use-Cases mit Impact:
 
 Gemeinsam mit den DS-/AI-Kolleg:innen entwickelst und produktivierst du ML-Modelle entlang des Member Lifecycles (Churn, Retention, Propensity, Forecasting) &ndash; mit Schwerpunkt passend zu deinem Profil.
 </li>
 <li>
 
 Datenqualit&auml;t &amp; Governance in der Praxis:
 
 Du setzt etablierte Standards in den Pipelines konsequent um (Data Cataloging, Column-Level Lineage, DSGVO-Compliance) und entwickelst sie mit dem Team weiter.
 </li>
 <li>
 
 Single Source of Truth:
 
 Du &uuml;bersetzt fachliche KPI-Definitionen aus Controlling und Fachbereichen in nachhaltige, konzernweit nutzbare Datenmodelle.
 </li>
 <li>
 
 DataOps:
 
 CI/CD, Testing, Monitoring, Alerting &ndash; du bringst Engineering-Best-Practices in den Alltag.
 </li>
 <li>
 
 Stakeholder &amp; &Uuml;bersetzung:
 
 Du arbeitest direkt mit Fachbereich, Controlling und Dienstleistern und machst aus fachlichen Anforderungen tragf&auml;hige technische L&ouml;sungen.
 </li>
 <li>
 
 Tech-Scouting:
 
 Du evaluierst neue Tools und Patterns und treibst die technische Zielarchitektur &ndash; im Rahmen der Datenstrategie des Bereichs &ndash; als gleichberechtigte Stimme im Team mit voran.
 </li>
 </ul>
 
 
 
 
 
 WAS UNS &Uuml;BERZEUGT
 
 
 
 
 
 <ul>
 <li>
 
 6+ Jahre Berufserfahrung
 
 im Data Engineering, davon mehrere mit echter Verantwortung in einer modernen Cloud-Datenarchitektur.
 </li>
 <li>
 
 Abgeschlossenes Studium
 
 (Informatik, Wirtschaftsinformatik, Statistik o. &auml;.) oder vergleichbare Praxiserfahrung.
 </li>
 <li>
 
 Tech-Stack &ndash; Must-have:
 
 </li>
 <li>
 SQL &amp; Python &ndash; Entwicklung und Betrieb produktiver Datenpipelines
 </li>
 <li>
 Snowflake (oder vergleichbares Cloud DWH) &ndash; Architektur, Performance-Optimierung und Cost Management
 </li>
 <li>
 ELT-Stack &ndash; Fivetran, Coalesce, dbt oder vergleichbare Technologien
 </li>
 <li>
 Datenmodellierung &ndash; Data Vault 2.0, Star-/Snowflake-Schema oder &auml;hnliche Methoden
 </li>
 <li>
 
 Predictive Modelling:
 
 Erfahrung im Bau und Produktivieren von ML-Modellen (Klassifikation, Forecasting) inkl. Feature Engineering &ndash; du musst kein Research-DS sein, solltest dich aber im gesamten Modell-Lifecycle wohlf&uuml;hlen.
 </li>
 <li>
 
 Governance &amp; DataOps:
 
 Solides Verst&auml;ndnis von DSGVO, Lineage, Cataloging sowie CI/CD, Testing und Git im Datenkontext.
 </li>
 <li>
 
 MarTech (Grundverst&auml;ndnis):
 
 Grundkenntnisse von Customer Data Platforms und Data-Activation-Stacks (z. B. Segment, Braze, Talon.One) sowie von RESTful APIs und Webhooks.
 </li>
 <li>
 
 Strukturierte Arbeitsweise:
 
 Eigenverantwortlich, agil (2-Wochen-Sprints), pragmatisch.
 </li>
 <li>
 
 Kommunikation:
 
 Du kannst mit Fachbereich und Controlling auf Augenh&ouml;he sprechen und technische Themen adressatengerecht erkl&auml;ren.
 </li>
 <li>
 
 Sprachkenntnisse:
 
 Du kommunizierst sicher auf Deutsch (mind. B2-Niveau) und kannst technische Themen sowie Dokumentationen problemlos auf Englisch verstehen, erstellen und diskutieren.
 </li>
 </ul>
 
 
 
 
 
 PASSEN WIR ZUSAMMEN?
 
 
 
 
 
 
 Die RSG Group bietet dir seit mehr als 25 Jahren eine einzigartige Unternehmenskultur mit Platz f&uuml;r Pers&ouml;nlichkeit: Wir betrachten Menschen als Menschen und somit als wertvoll f&uuml;r uns alle. Wir f&ouml;rdern und fordern. Wenn du somit talentiert bist und zu uns passt, erh&auml;ltst du bei uns die Chancen und Herausforderungen, nach denen du schon immer gesucht hast.
 
 
 Wir freuen uns auf dich!
 
 
 
 
 RSG Group GmbH | Dein Karriere-Team | Saarbr&uuml;cker Stra&szlig;e 38 | 10405 Berlin
 
</div>

Senior Data Engineer (w/m/d) – Platform & Analytics

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)

Upvest

<div>At Upvest, we are on a mission to make investing as easy as spending money. 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.
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.<h1 class="jobSectionHeader">
About the role:</h1>
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.
We are open to hire remotely in Europe for this role.<div> 
</div><h1 class="jobSectionHeader">
What you&rsquo;ll do:</h1><ul><li>
Own and improve the Kafka consumer pipeline that captures, transforms, and warehouses event data</li><li>
Design and build CDC-based pipelines to capture and replicate changes from source systems into the data platform</li><li>
Design, build and maintain foundational data serving layers that scale and serve the use cases of engineering and analytics alike</li><li>
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</li><li>
Deliver self-service data solutions that enable engineers, analysts, and business users to work with the data platform independently</li><li>
Drive data observability: set up tests, metrics, and alerting for pipeline health and data quality using observability tooling such as Datadog</li><li>
Work closely with product engineering teams to ensure reliable, timely data availability</li><li>
Champion data culture - share knowledge, establish best practices, and help teams understand and trust their data</li></ul><h1 class="jobSectionHeader"> 
What you bring:</h1><ul><li>
Strong experience building and operating event-driven data pipelines, ideally with Kafka or similar streaming infrastructure</li><li>
Experience with Python, Go or another systems-level language for building data infrastructure</li><li>
Solid SQL skills for data transformation, modelling, and staging layer development</li><li>
Familiarity with infrastructure-as-code tooling such as Terraform for managing cloud resources</li><li>
Experience working with cloud providers such as GCP, AWS, or Azure (we run primarily on GCP)</li><li>
Experience with schema design and data modelling principles - able to advise teams across the organization</li><li>
Experience setting up data observability and monitoring (Datadog, Grafana, Prometheus, etc.)</li><li>
A product and consulting mindset - able to understand the needs of engineers, analysts, and business users and translate them into platform solutions</li><li>
Strong communication skills and ability to promote data literacy across the organization</li></ul><h1 class="jobSectionHeader"> 
It&rsquo;s great if you have:</h1><ul><li>
Experience with or strong interest in CDC tooling (Debezium, Fivetran, or similar)</li><li>
Familiarity with open table formats such as Apache Iceberg, Delta Lake, or Hudi - or strong interest in growing into this space</li><li>
Experience with building Agentic AI</li></ul><h1 class="jobSectionHeader">
How we Upvest in you:</h1><ul><li>
Best-in-class AI tools: 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.</li><li>
Impact-driven work: 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.</li><li>
Wellbeing: 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.</li><li>
Development: Growth is in our DNA. Each Upvenger has access to a personal development budget and the freedom to decide how to use it.</li><li>
Flexible work environment: 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.</li><li>
Compensation and equity: We believe that all Upvengers contribute to our success and deserve a competitive, above-market salary and a participation in our employee equity program.</li><li>
Team celebrations: Participate in company-wide events, such as UpFest, dinners, offsites and our Holiday party, to connect with colleagues and celebrate our achievements.</li><li>
Inclusion: 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.</li></ul><h1 class="jobSectionHeader">
Our Values:</h1><ul><li>
Make it easy for others. We simplify the complex and act with the best intentions.</li><li>
Own the outcome. We are proactive, fast and confident to get the job done, valuing progress over perfection.</li><li>
Rise to the challenge. We aim high and push the boundaries. We stay curious, learn and celebrate our wins together.</li><li>
Tell the story. We start with the Why to align on purpose. We are transparent and share knowledge to empower and inspire others.</li></ul>
Upvest is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</div>

Senior Data Product Engineer (f/m/d)

Enpal

<div>Our goal is to have a solar system on every roof, a storage unit in every house, and an electric car in every garage. Enpal makes this possible with an integrated total solution for decentralized energy&mdash;from solar systems and battery storage to wall boxes, smart meters, and heat pumps. At the heart of it all is our AI-powered platform Enpal.One+, which intelligently connects thousands of systems and efficiently optimizes electricity procurement and feed-in on the energy market.
Are you ready for solutions that are more than just a promise and bring real quality of life to thousands of households every day? What you create at Enpal will deliver clean electricity tomorrow and bring about lasting change in how we use energy. 
 
About the Role
The Staff Data Platform Architect is a senior technical leadership role responsible for defining and governing best practices across our data platform and analytics ecosystem. Reporting to the Engineering Manager, Data Platform, this is an individual-contributor role that leads through influence and lateral collaboration rather than direct authority.
You will act as a cross-functional technical authority, working closely with the Data Platform team and domain BI teams to set the standards, guardrails, and architectural direction that enable all data teams to operate at high quality and scale. Your impact is measured not by what you execute day-to-day, but by how effectively you raise the bar across teams through clear standards, sound architecture, and trusted consultation. 
What you'll do: 
 
Data Contract Standards<ul><li>
Define and enforce best practices for the technical definition and implementation of data contracts, including guidance documentation and CI/CD enforcement.</li><li>
Establish best practices for the review and actualization of data contracts with data owners, keeping producers and consumers aligned.</li></ul>
Tooling &amp; Developer Experience<ul><li>
Drive tool selection and evolution for data developers (e.g., dbt, IDEs, AI-assisted tooling), continuously evaluating options and defining usage best practices to keep teams productive and modern.</li></ul>
Data Modeling Standards<ul><li>
Set and maintain the reference data model architecture, defining where and how data should be structured across layers (e.g., ODS/bronze, marts).</li><li>
Establish best practices for model quality, code reusability, and data product certification, including SQL style guides and data testing guidelines.</li></ul>
Advisory &amp; Consulting<ul><li>
Serve as a consulting authority for the design and maintenance of data processing infrastructure (Snowflake, dbt, Airflow, dlt, Azure) and BI infrastructure (Power BI, Tableau).</li><li>
Support BI teams in modeling data products within dbt and Snowflake.</li></ul> 
Scope of Influence 
 
This role does not own day-to-day execution but sets the technical direction, standards, and guardrails for all data teams. The work manifests primarily as:<ul><li>
Guidance and governance documentation</li><li>
Technical enforcement mechanisms (CI/CD, testing frameworks)</li><li>
Cross-team consultation and architectural review</li></ul> 
Scope of Influence What you'll bring
Experience &amp; Background<ul><li>
7&ndash;10 years in data engineering, analytics engineering, or data platform roles, with a track record of working as a strong generalist across the modern data stack.</li><li>
Demonstrated experience setting technical standards or architecture that other engineers adopted and built on.</li><li>
Experience operating in a multi-team or domain-oriented data environment (data mesh, federated ownership, or similar) is a strong plus.</li></ul>
Technical Depth<ul><li>
Deep, hands-on expertise with dbt and a cloud data warehouse (Snowflake strongly preferred), including large or modular project structures.</li><li>
Solid command of data modeling approaches across raw, staging, and serving layers, and the trade-offs between them.</li><li>
Working knowledge of orchestration (Airflow), ingestion (dlt), cloud platform (Azure), and BI tooling (Power BI, Tableau).</li><li>
Familiarity with data contracts, schema governance, and CI/CD enforcement for data pipelines.</li><li>
Awareness of AI-assisted developer tooling and a pragmatic, evidence-based view of where it adds value.</li></ul>
Governance &amp; Standards
<ul><li>Proven ability to translate good practice into durable, adoptable standards: style guides, testing frameworks, certification criteria, review processes.</li><li>
Comfort defining guardrails that scale across teams without becoming bottlenecks.</li></ul>
Lateral Leadership &amp; Communication<ul><li>
Strong written communication; able to produce documentation engineers actually read and follow.</li><li>
Ability to build consensus and drive adoption through influence, not authority, across teams with competing priorities.</li><li>
Skilled at the consulting posture: advising, reviewing, and guiding without taking over.</li></ul>
Are you interested even if you don't meet all the requirements? Apply anyway! We look forward to discovering your potential&mdash;regardless of whether your experience meets every single requirement.
<h3 class="jobSectionHeader">What we offer</h3><ul><li>
Work at Germany's first green unicorn - Play an active role in shaping the solar energy transition.</li><li>
The sun shines all over the world - At Enpal, you'll work with a highly motivated, diverse team of over 65 nationalities.</li><li>
The ideal setup for your focus - We are convinced that excellent results are achieved when the conditions are right. That's why we rely on a hybrid working concept that gives you the freedom to always work in the way that best suits your tasks. Do you need new inspiration on an international level? With Workflex, we offer you the opportunity to relocate abroad for up to 30 days a year, depending on your responsibilities.</li><li>
Grown-up business &amp; startup spirit - In our modern office in Berlin-Friedrichshain, you'll find everything your heart desires, from height-adjustable desks and table tennis to stocked beverage fridges and barista coffee.</li><li>
Your kick-start at Enpal - Onboarding day with a welcome bag, buddy program, and a team that really supports you.</li><li>
Stay up to date &amp; help shape the future - Transparent all-hands meetings, short decision-making processes, and an open feedback culture - without mistakes, there is no progress.</li><li>
The energy transition can only be achieved together - At Enpal, you can expect legendary team spirit and unforgettable team events.</li><li>
Your extra boost - 29 vacation days + one additional day off on Christmas Eve and New Year's Eve, discounted membership at Wellhub, and corporate benefits. Everything you need to help you achieve a good work-life balance.</li></ul>
At Enpal, we are proud of the diversity of our team. No decisions are made on the basis of skin colour, religion or religious belief, ethnic or national origin, nationality, gender identity, sexual orientation, disability or age, either during recruitment or employment. Enpal stands for a safe workplace and takes action against discrimination and harassment of any kind.</div>

Data Platform Architect (f/m/x)

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