Senior Data Engineer

Senior Data Engineer

Location: Hybrid - Berlin | Type: Full time

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If you'd like to shape the success story of a fast-growing, award-winning company and the leading global digital coaching platform - get in touch!

About the Data & Insights team

We a remote first team (Spain, France, Germany, Austria, Italy). The team is composed of a group of talented Data Engineers, Machine Learning Engineers and Full Stack Engineers. This allows us to bring different perspectives, experiences, and ideas to the table, making our work richer and more impactful.

We work in "tribes" which are composed by multidisciplinary colleagues (product managers, analysts, and engineers). Depending on the tribe we use Scrum or Kanban. Your work will have a direct impact on our products, our customers, and our success as a company. We're looking for someone who is passionate about making a difference

What We Value:

• Autonomy

• Proactiveness

• Learning from Mistakes

• Making an Impact

• Collaboration

Our Golden Rules

• Move Fast (Iterate)

• With High Quality

• And true ownership

Position

We are seeking an experienced and talented Senior Data Engineer to join our dynamic team. As a Senior Data Engineer, you will play a key role in designing, implementing, and maintaining our data architecture and infrastructure.

Location: remote within the EU

Responsibilities:

• Design, implement, and maintain scalable and efficient data architectures to support the company's data needs.

• Develop and implement data models, ensuring data accuracy, consistency, and reliability.

• Create and optimize ETL processes to extract, transform, and load data from various sources into our data warehouse.

• Implement and enforce data quality standards, ensuring the accuracy and completeness of the data.

• Monitor and optimize the performance of data pipelines and queries.

• Create and maintain comprehensive documentation for data engineering processes, data models, and systems.

• Work closely with data analysts, data product managers and other stakeholders to understand and address their data requirements.

Requirements:

• Proven professional data engineering experience.

• Proficient in SQL and experience with relational and column databases (e.g., PostgreSQL, Redshift respectively).

• Strong programming skills in Python.

• Experience with cloud platforms (AWS).

• Experience with data modeling, ETL processes, and data warehousing concepts.

• Strong problem-solving and analytical skills.

• Excellent communication and collaboration skills.

• Ability to work independently and as part of a team in a fast-paced environment.

Preferred Qualifications:

• Experience in the use of AWS Lambda, EKS, API Gateway, S3, CDK, Airflow, dbt, Git

• Familiarity with data governance and compliance standards.

• Knowledge of machine learning concepts and frameworks.

• Generative AI enthusiast