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software engineer metadata

database engineer

Snowflake

<div><div>At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don&rsquo;t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset &mdash; who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Imagine you are part of a team of talented software engineers to shape the future of Snowflake&rsquo;s AI Data Cloud. We&rsquo;re looking for talented and driven software engineers that are passionate about pushing the boundaries of speed and scale. We keep a high bar in engineering as we want to release new versions of Snowflake at fast cadence to all our customers across the globe.
If this resonates with you, read on and apply!
Our mission is to provide low-latency and highly consistent access to Snowflake&rsquo;s metadata in a secure way. We keep data safe through geo replication and offer immutable snapshots over long periods of time. Most prominently, we build high-scale APIs that power different types of workload from analytics warehouse and Unistore up to AI and container functions. Almost any internal service interfaces with Metadata APIs. Therefore, our services run at a large scale, supporting trillions of requests per day. Additionally, we own the representation of Metadata to users through the means of Infoschema, SHOW commands and Snowflake APIs.
Link to article about Metadata team<div>
AS A SOFTWARE ENGINEER - METADATA, YOU WILL:</div><ul><li>
Solve real business needs at large scale by applying your software engineering and analytical problem solving skills.</li><li>
Design, develop, and support a highly-parallel and fault-tolerant database system including a decentralized caching system of terabytes of metadata.</li><li>
Design and implement core infrastructure features including APIs, DDL transactions and logs as well as advanced features built on top of the metadata, such as cloning, time travel and snapshots.</li><li>
Analyze and understand performance and scalability bottlenecks in the system and solve them.</li><li>
Ensure operational readiness of the services and meet the commitments to our customers regarding availability and performance.</li></ul>
We are looking for strong system engineers who are interested in solving some of the most challenging problems in distributed systems, performance and scalability, and passionate about building system software with high quality.<div></div><div>
OUR IDEAL SOFTWARE ENGINEER WILL HAVE:</div><ul><li>
2+ years industry experience designing, building and supporting large scale systems in production.</li><li>
Strong computer science fundamentals including data structures, algorithms, and distributed systems.</li><li>
Systems programming skills including concurrency, consistency, caching, etc. Fluency in Java (or other similar procedural object-oriented language) is preferred.</li><li>
Broad experience with identifying and implementing creative solutions to real customer problems.</li><li>
Knowledge of database internals is a big plus.</li><li>
BS in Computer Science; Masters or PhD Preferred.</li></ul>
Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com</div></div>

Software Engineer Metadata

<div>
 At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don&rsquo;t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset &mdash; who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
 
 
 Imagine you are part of a team of talented software engineers to shape the future of Snowflake&rsquo;s AI Data Cloud. We&rsquo;re looking for talented and driven software engineers that are passionate about pushing the boundaries of speed and scale. We keep a high bar in engineering as we want to release new versions of Snowflake at fast cadence to all our customers across the globe.
 
 
 If this resonates with you, read on and apply!
 
 
 Our mission is to provide low-latency and highly consistent access to Snowflake&rsquo;s metadata in a secure way. We keep data safe through geo replication and offer immutable snapshots over long periods of time. Most prominently, we build high-scale APIs that power different types of workload from analytics warehouse and Unistore up to AI and container functions. Almost any internal service interfaces with Metadata APIs. Therefore, our services run at a large scale, supporting trillions of requests per day. Additionally, we own the representation of Metadata to users through the means of Infoschema, SHOW commands and Snowflake APIs.
 
 
 Link to article about Metadata team
 
 
 
 AS A SOFTWARE ENGINEER - METADATA, YOU WILL:
 
 
 
 <ul>
 <li>
 Solve real business needs at large scale by applying your software engineering and analytical problem solving skills.
 </li>
 <li>
 Design, develop, and support a highly-parallel and fault-tolerant database system including a decentralized caching system of terabytes of metadata.
 </li>
 <li>
 Design and implement core infrastructure features including APIs, DDL transactions and logs as well as advanced features built on top of the metadata, such as cloning, time travel and snapshots.
 </li>
 <li>
 Analyze and understand performance and scalability bottlenecks in the system and solve them.
 </li>
 <li>
 Ensure operational readiness of the services and meet the commitments to our customers regarding availability and performance.
 
 
 
 </li>
 </ul>
 We are looking for strong system engineers who are interested in solving some of the most challenging problems in distributed systems, performance and scalability, and passionate about building system software with high quality.
 
 
 
 OUR IDEAL SOFTWARE ENGINEER WILL HAVE:
 
 
 
 <ul>
 <li>
 2+ years industry experience designing, building and supporting large scale systems in production.
 </li>
 <li>
 Strong computer science fundamentals including data structures, algorithms, and distributed systems.
 </li>
 <li>
 Systems programming skills including concurrency, consistency, caching, etc. Fluency in Java (or other similar procedural object-oriented language) is preferred.
 </li>
 <li>
 Broad experience with identifying and implementing creative solutions to real customer problems.
 </li>
 <li>
 Knowledge of database internals is a big plus.
 </li>
 <li>
 BS in Computer Science; Masters or PhD Preferred.
 
 
 
 </li>
 </ul>
 Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
 
 
 How do you want to make your impact?
 
 
 Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
 
 
 How do you want to make your impact?
 
 
 For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
</div>

Almedia

<div>
 This isn&rsquo;t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We&rsquo;re aiming to become Germany&rsquo;s second bootstrapped unicorn. Almedia is already Europe&rsquo;s #3 fastest-growing company in 2025 (FT1000).
 
 
 We are building the future of marketing by rewarding our community of over 70 million users for engaging with our advertisers&rsquo; products. We are offering a new way to acquire users for the biggest companies in the world.
 
 
 
 Data Engineer
 
 
 
 You&rsquo;ll design, implement, scale, and maintain the code that powers our production environment. With real freedom to innovate, you&rsquo;ll shape the next generation of our data and backend platform&mdash;connecting APIs, pipelines, self-managed and cloud infrastructure to deliver fast, reliable, high-impact systems.
 
 
 
 A highly technical mindset and a drive to improve daily are essential.
 
 
 
 
 What You&rsquo;ll Do 🎯
 
 
 
 <ul>
 <li>
 Design and build Python APIs and backend services that power internal and third-party integrations
 </li>
 <li>
 Develop and operate end-to-end data pipelines, from ingestion to persistence across GCP services
 </li>
 <li>
 Build high-frequency, event-driven systems for real-time and asynchronous data processing
 </li>
 <li>
 Apply strong data modeling and database design principles for structured and semi-structured data
 </li>
 <li>
 Write clean, testable, production-grade code with strong coverage and CI/CD discipline
 </li>
 <li>
 Drive observability, performance, and reliability across backend and data systems
 </li>
 <li>
 Own services end-to-end &mdash; from schema and API design to deployment and monitoring
 </li>
 <li>
 Use modern cloud and automation practices (IaC tools like Terraform, containers, orchestration)
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring 💡
 
 
 
 <ul>
 <li>
 Strong experience in backend or data engineering
 </li>
 <li>
 Strong skills in Python and SQL
 </li>
 <li>
 Hands-on experience with cloud platforms (AWS or GCP) and data warehouse design (using BigQuery or Snowflake)
 </li>
 <li>
 Solid engineering discipline &mdash; CI/CD, testing, microservices, and end-to-end ownership
 </li>
 <li>
 Understanding of data modeling, schema design, and performance optimization
 </li>
 <li>
 Familiarity with orchestration tools (Airflow, Dagster) and observability practices
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with API integrations (CRM, attribution, or marketing systems)
 </li>
 <li>
 Exposure to containerization (Docker, Kubernetes)
 </li>
 <li>
 Knowledge of data testing frameworks or event-driven architectures
 
 
 </li>
 </ul>
 Why Almedia? 🎁
 
 
 <ul>
 <li>
 Own Our Growth: We offer all Berlin-based employees equity in Almedia to truly be a part of our success.
 </li>
 <li>
 Scale With Almedia: Grow alongside a startup that has been profitable from day one.
 </li>
 <li>
 Central Berlin Office: Work from a fully-stocked modern office built for collaboration, accessible from all around Berlin.
 </li>
 <li>
 Other Benefits: Transport subsidy, breakfasts and lunches, language learning, Urban Sports Club, and more.
 
 
 </li>
 </ul>
 We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.
</div>

Data Engineer

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
Our central Data Platform team builds the paved road that domain Analytics Engineering and BI teams build on top of within our data mesh. As a Data Platform Engineer, your customers are developers, not dashboards: you own the tooling, abstractions, and guardrails that let 55+ AE/BI engineers embedded across domains ship dbt models safely and fast across a ~2,500-model monorepo. You'll work at the intersection of dbt, Snowflake, orchestration, and infrastructure-as-code, and you'll spend as much time unblocking and enabling others as you do writing code.<h3 class="jobSectionHeader">
What You'll Do</h3><ul><li>
Own and evolve our dbt platform: macros, packages, project structure, selective/state-aware runs, and CI gating across a large monorepo.</li><li>
Build self-service scaffolding and developer tooling so domain teams can create models, sources, and tests without touching platform internals.</li><li>
Manage infrastructure as code with Terraform and ArgoCD (GitOps), keeping environments reproducible and reviewable.</li><li>
Enforce federated governance: data contracts, RBAC via Snowflake database roles, and domain ownership boundaries.</li><li>
Support data privacy and compliance requirements, including metadata-driven PII handling.</li><li>
Build observability and testing into the platform so failures are caught before they reach domain teams.</li><li>
Partner with AE/BI leads to gather requirements, review designs, document patterns, and continuously lower the barrier to entry.</li></ul><h3 class="jobSectionHeader">
What We're Looking For</h3><ul><li>
Strong software engineering fundamentals: Python, testing, reusable libraries, and a platform-as-product mindset.</li><li>
Deep, hands-on dbt experience at scale (not just authoring models, but operating the platform around them).</li><li>
Solid Snowflake knowledge: RBAC, performance, and warehouse management.</li><li>
Experience with orchestration (Airflow) and containerized workloads (Kubernetes/AKS).</li><li>
Comfort with IaC (Terraform) and GitOps (ArgoCD).</li><li>
Familiarity with modern ingestion frameworks (dlt or similar).</li><li>
Excellent communication and stakeholder empathy; you enjoy enabling other engineers and can navigate ambiguity in a cross-domain mesh.</li></ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
Experience building internal developer platforms or paved-road tooling.</li><li>
Knowledge of data contracts and federated data governance.</li><li>
GDPR/DSGVO-aware data handling experience.</li><li>
Exposure to Snowflake Iceberg/REST catalogs or dbt Fusion.
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.
</li></ul><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 Engineer (f/m/x)

Flix

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

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

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

Talon.One

Berlin
 <div><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&rsquo;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 budge 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><div> 
WHY YOU SHOULD WORK FOR US:
<ul>
<li>The right attitude: modern methods and a diverse, creative workspace with an open and international culture</li>
<li>Everyone for the product: Together we create a flexible, highly scalable product with state-of-the-art technologies. We can only succeed if everyone works as a team</li>
<li>Healthy Growth: Growing our company means growing everyone in the team. We love to share knowledge and learn</li>
<li>A great environment: Flexible and family-friendly environment, bright and easily accessible offices, modern software and hardware</li>
<li>High flexibility degree: Prefer to work early or late at night? Do you have to pick up your children from kindergarten? Do you prefer working abroad? We believe in results and motivated employees</li></ul> 


Do you want this job?

We&rsquo;d love to hear from you! Apply directly via the form.
<div>
Talon.One is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. We do not make employment decisions on the basis of race, color, religious belief, ethnic origin, nationality, sex, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by company policy. As an employer we strive for a healthy and safe workplace and strictly prohibit harassment of any kind.</div></div></div>

Explore 202+ Database engineer in Berlin this July. Find roles across top companies and apply now to boost your career.

202 database engineer jobs In Berlin

Software Engineer Metadata

Software Engineer Metadata

Data Engineer

Data Engineer (f/m/x)

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

Senior Data Engineer

Senior Data Engineer