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Data Engineer

vor 1 Monat


Düsseldorf, Nordrhein-Westfalen, Deutschland Uniper Vollzeit
About Uniper

Uniper is a leading international energy company that is proactively transforming the world of energy while ensuring security of energy supply. Our Commercial Technology Team in Düsseldorf is seeking a highly skilled Data/DataOps Engineer to join our high-impact, results-driven Platform Engineering team.

Job Summary

As a Data/DataOps Engineer, you will be responsible for designing, developing, and maintaining scalable data pipelines, managing data integration, and ensuring robust data quality and governance to enhance and support our systematic trading activities. This role is critical to ensuring the efficiency, reliability, and scalability of our core data infrastructure, directly supporting our strategic trading initiatives.

Key Responsibilities
  • Gain a deep understanding of data requirements related to Uniper's energy trading business and translate them into technical designs
  • Design, develop, and maintain scalable data pipelines for both batch and streaming data, ensuring data quality and consistency to support data analytics initiatives
  • Develop and maintain robust data models that optimally support workloads of Uniper's analysts and traders, ensuring data is well structured and easily accessible
  • Seamlessly integrate market and other data from various sources, including internal and external data feeds, APIs, databases, and streaming services
  • Implement data quality checks, validation processes, and monitoring solutions; maintain data governance and security standards across all data domains
  • Manage and maintain an up-to-date data catalog using tools like Collibra to ensure metadata is accurately documented and accessible
  • Develop and implement automation scripts and workflows to enhance efficiency and reduce manual intervention in data processing
  • Monitor and optimize the performance of data pipelines, ensuring efficient data processing and minimizing disruptions
  • Collaborate cross-functionally with traders, analysts, software engineers, and other stakeholders to understand data requirements and ensure that solutions are aligned with business needs
Requirements
  • Proven expertise in Data/DataOps Engineering, Data Management, Data Architecture, or related roles by a strong track record of building and maintaining scalable data pipelines, integrating diverse data sources, and ensuring high data quality and governance
  • Strong knowledge of software engineering best practices, object-oriented concepts, and the ins and outs of data-focused development
  • Proficiency in Python, SQL, and data processing frameworks like Apache Spark
  • Experience with cloud platforms (e.g., Azure) and tools like Databricks, Snowflake, PostgreSQL, and Kafka
  • Expertise in handling both event-based and aggregated time series data
  • Strong understanding of modern data governance frameworks, data modeling, data architecture, OLAP & OLTP systems and their application in dynamic environments
Preferred Qualifications
  • Previous experience in an operational data team, preferably in energy trading or a related field
  • Experience with DevOps techniques, including CI/CD and infrastructure-as-code
  • Experience with Delta Live Tables (DLT) and/or dbt is a plus
  • Familiarity with data cataloging and quality monitoring solutions (e.g., Collibra)
Soft Skills and Cultural Fit
  • Excellent communication and collaboration skills to work effectively with technical teams and business stakeholders
  • Strong analytical thinking, problem-solving abilities
  • A passion for continuous learning, innovation, knowledge sharing, and driving excellence in data engineering
  • Ability to work effectively in a cross-functional, fast-paced environment
Additional Requirements
  • Fluency in English (verbal and written)
  • Willingness to participate in on-call duties in the future, as the team evolves to support 24/7 operational needs