Uniper
Uniper

(Senior) Data/DataOps Engineer Algo-Trading (f/m/d)

  • +2
  • +5
  • DE
    Düsseldorf, North Rhine-Westphalia, Germany
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  • +2
  • +5
  • DE
    Düsseldorf, North Rhine-Westphalia, Germany

About

Our Commercial Technology Team in Düsseldorf is looking for you!

Our Commercial Technology Team in Düsseldorf is looking for you!

We are Uniper

At Uniper, we are pro-actively transforming the world of energy whilst at the same time ensuring security of energy supply. As an internationally operating company, we work in very diverse teams with the greatest possible working time flexibility for our employees. Our corporate culture is characterized by equal opportunities, mutual appreciation, and respect. With us, you will be able to develop new business models, work on technological solutions for a modern, sustainable, and future-oriented energy supply as well as pro-actively help to shape changes. Interested? Then we will look forward to meeting you!

Your responsibilities

We are Uniper
Join our high-impact, results-driven Platform Engineering team where your work directly influences our trading operations. You'll have the opportunity to work with cutting-edge tools and platforms, tackle complex challenges in energy trading, and see the tangible outcomes of your contributions. Our commitment to leveraging the latest technologies ensures you'll continually expand your skillset while driving significant business results.

Position Summary

As the (Senior) 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. The ideal candidate has a passion for creating high quality software, loves working with data in all its forms and shapes, enjoys solving complex problems, brings expertise in time series data and is adept at working with modern data platforms and tools.

Your 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
Leverage tools and platforms including Azure, Databricks (utilizing Unity Catalog & Delta Lake), Snowflake, PostgreSQL, TimescaleDB, Kafka, and Flink with a strong focus on time series data
Stay updated on and experiment with emerging technologies like Delta Lake and Apache Iceberg to continuously enhance our lakehouse architecture

Your profile

Essential Qualifications:

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

Your benefits

At Uniper, we not only reward our employees with attractive salaries, an excellent company pension and health related benefits for their hard work and dedication to shaping the future energy transition. You can also expect a supportive working culture that offers a wide range of creative and innovative ideas. We enable various flexible working arrangements, whilst also supporting with home office equipment.
Through regular training and workshops, together we work towards visualising yourself in our company as if it were your own. We support you in highlighting your individual potential, achieving your personal goals, and reaching your ambitions. We invite you to become part of our diverse company with international colleagues from more than 80 countries. As an employer, Uniper has committed itself to providing special support to certain areas:
Work-Life-Balance / New Normal:
Choosing how, where, and when to work in accordance with your team and the requirements of your job
Modern and ergonomic equipment for your workplace (home & office)
Support to balance private life and work: Sabbaticals, part-time possibilities, family service
Mobility:
Car and bike leasing offer (deferred compensation)
E-car charging stations at almost all Uniper location

Health offers:

Flu vaccination
Preventive health services
Employee assistance program

Company pension:

Employer-funded contributions to a modern pension system
Possibility of self-funded contributions with employer-funded matching

Trainings:

Lifelong training
Coaching

Our employees are the reason for our success. Therefore, you will find many other benefits at the local level to help you reach your potential. Energy evolutionary wanted!

Your contact

If you have any questions, please do not hesitate to contact us at:

Volodymyr Sorokoumov

volodymyr.sorokoumov(at)uniper.energy

Attention! Please apply via the button in this portal. Application documents that reach us by post will not be returned and, like those we receive by e-mail, can unfortunately not be considered!

Job information

Contract type:
Working hours:

As an employer, Uniper is committed to diversity and equal opportunities. Therefore, we encourage applications from suitably qualified individuals whose capabilities match the role requirements regardless of gender, origin, disability, age, religion, ideology, sexual identity or marital status. We live inclusion and support flexible working.

Nice-to-have skills

  • Python
  • SQL
  • Azure
  • PostgreSQL
  • Kafka
  • Düsseldorf, North Rhine-Westphalia, Germany

Work experience

  • Data Engineer
  • Data Infrastructure

Languages

  • German