Data Engineer (d/f/m)
12 days ago
Full time role
Hybrid · Munich, BY, DE
Short Facts
Join us on our journey: To drive the smart and sustainable energy future, we are looking for a forward-thinking and experienced Senior Data Engineer (d/f/m) who shares our vision and values by designing, building, and monitoring our data infrastructure.
Mandatory Requirements
Marco Pennacchiotti- Head of Data Science and Data Engineering
I joined Entrix in August 2024. My mission is to build a world-class team of Data Scientists that solves some of the most challenging data science problems we face today, ultimately contributing to save the planet, one Megawatt at a time.
Before joining Entrix, I worked at Meta, eBay, Yahoo! and BMW, always with a focus on Machine Learning and big data, and on solving real-world problems, be that improving search engines’ algorithms, building autonomous driving vehicles or fine tuning Large Language Models.
I love Entrix because it enables me to combine my passion for data and algorithms with my commitment to save the environment, by working on projects that are at the forefront of the energy transition, machine learning and data science. Also, at Entrix I rediscovered that entrepreneurial and getting-things-done spirit that I missed so much after coming back to Europe from my time in Silicon Valley.
As a manager, my goal is to empower individuals to work in autonomy, help them deliver value in production, work across functions as “one team”, and grow in their career path focusing on their strengths. I strive to build an informal environment where everybody can be productive, communicate openly and freely, and ultimately have fun while feeling a strong sense of achievement. Your Contact in our People Team
Your contact person is Elizabeth Wasike.
If you have any questions, feel free to send us an email to talent@entrixenergy.com
We are looking forward to receiving your application!
Join us on our journey: To drive the smart and sustainable energy future, we are looking for a forward-thinking and experienced Senior Data Engineer (d/f/m) who shares our vision and values by designing, building, and monitoring our data infrastructure.
- Location: Munich, Germany
- Employment Type: Full-Time, indefinite term
- Salary Range: € 80.000 - 88.000 per year gross depending on the seniority level
- Office-first work setup
- Language Requirement: C1 Level English
- Design, build and maintain our data lake/warehouse and our data pipelines.
- Work closely with data scientists to enable them to deliver world-class optimization and Machine Learning models in production.
- Work with other engineering teams to resolve data infrastructure challenges.
- Help leadership define our data strategy, develop our data tech radar and ensure continuous adoption of best-in-class data tools.
Mandatory Requirements
- University degree in Computer Science or a related engineering field
- Industry experience (4+ years) in software development with proficiency in Python
- Industry experience (2+ years) in data engineering roles
- Proven experience in working with cloud-based data lakes, data warehouses and developing data pipelines in a production environment
- Proven hands-on experience with AWS services (for example, Lambda, EMR, Glue, S3) and experience in managing these services as Infrastructure-as-Code (preferred AWS CDK)
- Proven hands-on experience with data engineering technologies, such as SQL/noSQL databases (e.g. DynamoDB, Iceberg, Redshift, PostgreSQL), big data processing framework (e.g. Apache Spark, Dask, Ray), orchestration (e.g. Step Functions, Prefect, Apache Airflow)
- Experience in working with data science teams and in ML engineering
- Experience in time series databases and time-series data handling
- Background in CI/CD, Machine Learning operation tools (e.g. ML Flow) or functional programming experience (e.g. Scala) is a big plus
- Experience in the energy domain
- Competitive Compensation Package: Including salary, benefits and options
- Professional Development: Annual development budget of 3,000 € for coachings, trainings, books, etc.
- Health & Sport Subsidy: Company subsidised sports facilities membership
- Public Transportation Subsidy: Monthly subsidy to your public transport ticket
- Lunch/Dinner Allowance Vouchers: Allowance for meals on working days as digital meal vouchers
- Work Equipment: Mac Book or Windows Laptop and ergonomic workplace
- Regular Team Events: Knowledge Sessions, Afterwork, Sports, Offsites, Halloween, Pride Month, etc.
Marco Pennacchiotti- Head of Data Science and Data Engineering
I joined Entrix in August 2024. My mission is to build a world-class team of Data Scientists that solves some of the most challenging data science problems we face today, ultimately contributing to save the planet, one Megawatt at a time.
Before joining Entrix, I worked at Meta, eBay, Yahoo! and BMW, always with a focus on Machine Learning and big data, and on solving real-world problems, be that improving search engines’ algorithms, building autonomous driving vehicles or fine tuning Large Language Models.
I love Entrix because it enables me to combine my passion for data and algorithms with my commitment to save the environment, by working on projects that are at the forefront of the energy transition, machine learning and data science. Also, at Entrix I rediscovered that entrepreneurial and getting-things-done spirit that I missed so much after coming back to Europe from my time in Silicon Valley.
As a manager, my goal is to empower individuals to work in autonomy, help them deliver value in production, work across functions as “one team”, and grow in their career path focusing on their strengths. I strive to build an informal environment where everybody can be productive, communicate openly and freely, and ultimately have fun while feeling a strong sense of achievement. Your Contact in our People Team
Your contact person is Elizabeth Wasike.
If you have any questions, feel free to send us an email to talent@entrixenergy.com
We are looking forward to receiving your application!