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Senior Data Engineer (Pipelines & Ingestion) (f/m/d) - Metrify Smart Metering

Enpal B.V.
Berlin
Vollzeit
vor 1 Tag

Company Description

We are Metrify Smart Metering, Germany’s largest competitive smart metering operator, and a new strategic spin-off initiative by Enpal.  

Are you ready for one of the great infrastructure challenges of the 2100s? To truly transform into a decentralized power grid that can support a fully electrified, renewable future, millions of homes need to be equipped with smart meters and control systems. That’s why we are performing the fastest smart meter roll-out in the German market at unprecedented scale, shaping the way this digitally transformed grid will operate. Our mission is to enable utilities, grid operators, and energy providers to install and operate smart meters. Our service portfolio covers all aspects of metering operations: from electricity meter installation and market communication to data management and clearing. 

While Metrify emerged from Enpal, we now operate independently in the market, serving a broad range of commercial customers, energy suppliers, and municipal utilities. 

About the Team 

You’ll be joining a brand-new 1.5 pizza team of engineers, working on projects from scratch. You will collaborate closely with non-technical stakeholders and the tech team. You will be reporting directly to the CTO. This role is hybrid in Berlin. 

Job Description

We are looking for a Senior Data Engineer (f/m/d) to join Metrify Smart Metering and take ownership to lead our data pipelines' design, development, and optimization. You will be responsible for architecting and maintaining robust ingestion processes, ensuring data consistency, and collaborating closely with the product and analytics teams. In this role, you’ll tackle everything from new data source integration to performance tuning in large-scale environments. 

  1. Data Pipeline Architecture: You’ll design and build scalable data ingestion and transformation pipelines, handling both batch and real-time streams. 
  2. ETL/ELT Best Practices: You’ll build robust, efficient workflows using tools like dbt, Apache Airflow, or similar orchestration frameworks. 
  3. Workflow Automation Integration: You’ll collaborate with software and platform engineers to ensure data workflows can incorporate automation logic and business rules (e.g., auto-escalation, anomaly detection). 
  4. Quality & Governance: You’ll enforce data integrity, version control, and security protocols to safeguard data quality. 
  5. Performance Optimization: You’ll diagnose bottlenecks in data processing and implement best practices to improve throughput and reliability. 
  6. Mentorship & Team Building: You’ll lead by example in code reviews, provide guidance to junior engineers, and actively shape a knowledge-sharing culture within the team. 

Qualifications

  1. You gained solid experience in data engineering, designing robust and large-scale data solutions
  2. You are experienced in Python, database interactions (SQL & NoSQL), using modern data platforms (Snowflake, Databricks, or similar), and you have a strong understanding of dimensional modeling, data warehousing concepts, and schema design
  3. Familiarity with real-time streaming (Kafka, Spark, or similar), cloud providers (AWS, Azure, or GCP), containers (Docker), CI/CD pipelines, or energy-sector data is a nice to have. 
  4. You communicate clearly in English. Knowledge of German is a plus. 
  5. You embody agile values and take ownership of identifying data issues and implementing robust solutions. You're comfortable with ambiguity, move fast with MVPs, and keep a long-term architectural view in mind. 

Additional Information

Benefits:

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. 

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