Senior Data Engineer (m/f/d)

Posted 4 Days Ago
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Berlin, DEU
Hybrid
Senior level
Healthtech
The Role
Design, build, and maintain scalable batch and real-time data pipelines; evolve the warehouse/lakehouse architecture for performance and reliability; implement data quality, monitoring, and observability; collaborate with Product, Analytics, Operations, and Engineering; take end-to-end ownership of data initiatives and optimize processing efficiency, query performance, and cost.
Summary Generated by Built In

Entyre, part of the Entyre Group, is one of the fastest-growing health tech scale-ups in Switzerland and the United States. With 500+ employees globally and offices in Zurich, Berlin, Boston, Chicago, Detroit, Arlington, and Columbus, we are scaling rapidly.

For our Berlin tech hub, we are looking for a Senior Data Engineer (m/f/d) who wants to take real ownership in building and scaling a modern data platform. This role is focused on designing, building, and operating the company’s data platform, data infrastructure, and data reliability systems.

If you enjoy designing robust data architectures, building reliable and scalable pipelines, and enabling high-quality analytics and data-driven decision-making, this role is a great fit.

You will join a focused engineering team in Berlin and take responsibility for our core data infrastructure, supporting operations, and product teams with trusted, well-structured data.

Our tech stack includes Python, SQL, Fivetran, BigQuery, Dataform, Sigma, GA4.


What you will work on

Data Engineering

  • Design, build, and maintain scalable batch and real-time data pipelines across multiple sources and systems

Data Architecture

  • Develop and evolve our data warehouse/lakehouse architecture with a focus on performance, scalability, and reliability

Data Quality & Reliability

  • Implement monitoring, validation, and observability solutions to ensure trustworthy data across the organization

Collaboration

  • Work closely with Product, Operations, and Engineering teams to design and maintain scalable data infrastructure that enables self-service reporting.

Ownership

  • Take end-to-end responsibility for data initiatives, from design and implementation to production rollout and ongoing optimization

Performance Optimization

  • Improve data processing efficiency, query performance, and cost-effectiveness across the platform


About you
  • You are passionate about data engineering and solving complex technical data problems

  • You have solid experience as a Data Engineer in fast-paced, data-driven environments

  • You have strong hands-on experience with Python and SQL

  • You have experience with tools such as Fivetran, BigQuery, Dataform, Sigma, GA4

  • You have worked with cloud platforms (AWS, GCP, or Azure) and modern data warehouses (e.g., Snowflake, BigQuery, Redshift)

  • You understand data modeling, ETL/ELT patterns, and building scalable data systems

  • Experience with streaming technologies (e.g., Kafka) is a plus

  • Fluency in English is required; German is a plus

What we offer
  • Key responsibility in a small, experienced engineering team

  • Modern office in vibrant Kreuzberg, with up to 3 days of work from home per week

  • Monthly mobility budget for public transport, bike, or shared mobility

  • Strong team culture with regular events, drinks, and snacks in the office

  • Opportunity to shape a modern cloud-based data platform in a fast-scaling health tech environment

How We Operate - Non-Negotiable:

1. "Insanely Great" for Families - Delivered Now:
Forget just 'satisfaction'. We deliver support that makes caregivers feel loved and seen. Understand their pain, anticipate their needs, and solve them – fast.
The standard is "Insanely Great," period. Anything less slows us down and fails our families.

2. Speed is King - Ruthless Focus is the Key:
Velocity comes from focus. Kill distractions. We concentrate all firepower on the #1 critical objective until it's done. Then we attack the next one.
Decide what not to do and cut it ruthlessly. Being a mile wide and an inch deep is failure. Move the needle now.

3. Raise the Bar: Crush Mediocrity:
Mediocrity is poison. It kills speed, morale, and companies. We hunt it down and eliminate it. Good enough is never good enough.
Demand A-Player performance from yourself and everyone around you. Own your shit. Deliver excellence, fast. No excuses, no passengers.

4. The Speed Algorithm: Question. Delete. Simplify. Accelerate.
This is how we build momentum: Question every requirement – who asked? why? Delete ruthlessly – parts, processes, bureaucracy. If you don't add 10% back later, you didn't cut enough. Simplify what's left. Then, accelerate cycle time like hell.
Challenge everything. "It can't be done" means "You haven't figured it out yet. Go do it." Break bottlenecks, find shortcuts, remove friction.

5. Act Like Owners - Bold Bets, Fast Action:
This is your company. Own the mission, own the results. Don't wait for permission – take initiative.
Make bold bets that can leapfrog progress for our families. Act decisively. Move fast. If you stumble, learn faster and go again. Bias for action is everything.

The Bottom Line:
We are building something vital, and we are doing it at lightning speed. This requires intensity, focus, and a relentless drive to execute. If reading this makes you want to jump up and build faster, welcome to Entyre. If not, get out of the way.


Ready to make an impact? We’re excited to receive your application and can’t wait to see what we can achieve together!

Skills Required

  • Senior-level experience as a Data Engineer in fast-paced, data-driven environments
  • Strong hands-on experience with Python
  • Strong hands-on experience with SQL
  • Experience with Fivetran, BigQuery, Dataform, Sigma, GA4
  • Experience with cloud platforms (AWS, GCP, or Azure) and modern data warehouses (Snowflake, BigQuery, Redshift)
  • Understanding of data modeling and ETL/ELT patterns and building scalable data systems
  • Experience with streaming technologies (e.g., Kafka)
  • Fluency in English
  • German language skills
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The Company
0 Employees
Year Founded: 2018

What We Do

Entyre GmbH develops technology for dignified home care and healthcare, utilizing proprietary data and algorithms to support family caregivers and enable better decision-making for patients, doctors, and insurers.

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