1 day ago

Senior Data Engineer, Data & AI

E.ON Digital Technology

On Site
Full Time
€85,000
Berlin, Berlin, Germany

Job Overview

Job TitleSenior Data Engineer, Data & AI
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary€85,000
LocationBerlin, Berlin, Germany

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Job Description

About E.ON Digital Technology

You have a passion for technology and want to make the world a greener place?

Join the forefront of energy transition with E.ON's Digital Technology organization, as part of our technology in-house consulting, Expert Services. As a professional services organization, we collaborate closely with our business units, providing pivotal services that accelerate E.ON's ambitious Digital Transformation strategy.

If you have a passion for leading the green transition with digital innovation, become a playmaker in our energetic and diverse team of more than 500 Expert Services consultants.

It’s on us to make new energy work!

Your Role – meaningful & rewarding

  • Collaborate with cross-functional teams, including project managers, data experts and business stakeholders, to understand business needs and build operational data-driven solutions that have global impact and scale to all EON countries.
  • Take responsibility for the end-to-end lifecycle of projects, define scope and deliverables with the business and ensure timely delivery of high-quality solutions.
  • Communicate findings, insights and decisions effectively to both technical and non-technical audiences.
  • Foster a collaborative and innovative team environment and mentor junior colleagues.
  • Share your ideas and convince to go new ways.

Your Profile – authentic & open-minded

  • Extensive professional experience in data engineering positions and a consulting background.
  • Hands-on experience in building end-to-end data solutions.
  • Experience with software development best practices, including version control, continuous integration and continuous deployment (CI/CD), monitoring, automation and testing.
  • Expertise in Kubernetes, Airflow, Kafka, Containerization and Helm Charts.
  • Experience in Microsoft Azure, Infrastructure-as-a-Code as well as building secure cloud architecture.
  • Experience with our technology stack which includes Azure Data Factory, Databricks, Terraform, Python, Spark.
  • Excellent communication skills engaging various stakeholders matching the audience.
  • Fluent in English and German.

Our Benefits – smart & useful

  • Advance your development: We grow and we want you to grow with us. Learning on the job, exchanging with others, or taking part in an individual training – our learning culture enables you to bring your personal and professional development to the next level.
  • Recharge your battery: You have 30 days of paid vacation per year plus Christmas and New Year's Eve off. Your battery still needs charging? You can exchange parts of your salary for more paid vacation or you can take a sabbatical.
  • Enjoy hybrid work: We combine office collaboration with focused work from home. It’s also possible to go on workation for up to 20 days per year within Europe.
  • Stay active & healthy: Benefit from a company-sponsored health membership.
  • Elevate your mobility: From car and bike leasing offers to a subsidised Deutschland-Ticket – your way is our way.
  • Think ahead: With our company pension scheme and a great insurance package we take care of your future.

This is by far not all… We are looking forward to speaking with you about further benefits during the hiring process.

Key skills/competency

  • Data Engineering
  • Azure Cloud
  • Kubernetes
  • Airflow
  • Kafka
  • Python
  • Spark
  • Databricks
  • CI/CD
  • Infrastructure-as-Code

Tags:

Data Engineer
Data & AI
Data Pipelines
Azure
Kubernetes
Airflow
Kafka
Python
Spark
Databricks
CI/CD
Infrastructure-as-Code
ETL
Cloud Architecture
Consulting

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How to Get Hired at E.ON Digital Technology

  • Research E.ON Digital Technology's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Customize your resume: Highlight extensive data engineering experience, consulting background, and expertise in Azure, Kubernetes, Airflow, and Python.
  • Showcase project lifecycle ownership: Emphasize your ability to manage end-to-end data solutions from scope definition to timely delivery.
  • Prepare for technical depth: Be ready to discuss your hands-on experience with technologies like Databricks, Terraform, Spark, and CI/CD practices.
  • Practice stakeholder communication: Demonstrate strong ability to convey complex technical insights to diverse audiences, both technical and non-technical.

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