Senior Data Engineer (English speaking)(M/F/D)

Data engineering is your passion and you love to make sure that data can be turned into valuable assets? You are keen on creating data products that enable teams and organisations to increase their productivity? You have solid experience in designing and maintaining data architectures? You have an engineering mindset and love to analyze complex datasets? You love to work in an agile environment and deliver in short iterations? If this sounds interesting to you, then it is YOU we need in our team!

Tasks

1. Design, develop, optimize, and maintain data architecture.
2. Design and maintain ingestion of multiple data sources.
3. Analyze, manipulate, transform and process large and complex datasets.
4. Enable training and running machine learning models.
5. Build real-time data pipelines.
6. Help our customers to become cloud-native and data-driven companies.
7. Support your team with active knowledge transfer.
8. Influence the introduction of new tools, methodologies, and techniques.
9. Work in an agile environment and cross-functional team.

Requirements

At heart, you are a passionate team player who respects the opinions of colleagues, with:

• Strong team collaboration skills.
• An eye for detail and excellent documentation skills.
• Decision-making based on metrics.
• A structured approach and commitment to quality.
• Openness to new technologies.
• Minimum 5 years of experience as a Data Engineer.
• At least 3 years of experience in Python or Scala and SQL.
• A bachelor\’s degree in computer science, data science, data engineering, or a relevant field like mathematics or physics.
• Experience in semantic modeling of complex data landscapes and familiarity with Data Lake, Data Warehouse, Data Vault, Data Mart concepts.
• Deep understanding of various data stores, both structured and unstructured, including distributed filesystems, SQL, and NoSQL databases.
• Ability to structure data pipelines for reliability, scalability, and performance.
• Comfort working with analytics processing engines like Spark or Flink.
• Experience with various storage formats such as JSON, Parquet, ORC, and knowing when to use each.
• Fluent in English; German language skills are a plus.

Bonus Experience (Nice to Have)

• ML Engineering & MLOps experience, including deployment and monitoring using tools like MLFlow, Kubeflow, TensorFlow Serving.
• Experience with cloud platforms such as Azure (Databricks), Snowflake, AWS, or Google Cloud.
• Building real-time data pipelines with tools like Kafka, Kinesis, Dataflow, or RabbitMQ.
• Knowledge of CI/CD processes for data pipelines and ML models, using tools like GitHub Actions, Jenkins, or Airflow.

About us

At MobiLab, we are committed to empowering our employees to bring their creative mindset into action, guiding our customers toward reaching their full data potential, and becoming Cloud-native organizations.

We are a diverse and dynamic team committed to inclusivity and engineering excellence. Our headquarters in Cologne offers a creative work environment, and we provide benefits like public transport tickets, conference access, and pension schemes.

If you’re passionate about Cloud Integration and striving for engineering perfection, we invite you to join our MobiLab Team. Let’s grow together!

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