Data Platform Engineer (m/f/d)

Data Platform Engineer (m/f/d) – Business Unit Automotive

Infopro Digital, a B2B group specialising in information and technology, is seeking a Data Platform Engineer (m/f/d) on a permanent contract to strengthen our team at the Business Unit Automotive.

Role Overview

As a Data Platform Engineer, you will play a key role in building and evolving a scalable, reliable data platform that enables efficient data processing, integration, and advanced analytics across the organization. You will contribute to various projects while developing expertise and advancing your career.

Responsibilities

• Design, build, and operate scalable and reliable data pipelines using SQL and Python, ensuring efficient processing while optimizing performance and cost on platforms such as Snowflake and/or Databricks.
• Develop and manage end-to-end data workflows by combining dbt-based transformations with schema migration tooling (e.g., SchemaChange) and implementing efficient integration patterns between platforms (e.g., external tables, Snowpipe, connectors, or bulk loads).
• Create and maintain Snowflake stored procedures while orchestrating complex workflows using tools such as Airflow, ADF, or Databricks Workflows to ensure stable and automated data operations.
• Operate and modernise existing legacy systems (e.g., PostgreSQL, Talend), supporting their gradual migration into cloud-based architectures across AWS and/or Azure, including core services like storage, compute, IAM, and networking.
• Ensure high platform reliability by implementing strong data quality, observability, and monitoring practices (including alerting and SLAs), while applying security, governance, and CI/CD standards within Git-based development workflows.

Qualifications

• You have strong hands‑on experience with Snowflake, including performance tuning, workload management, and cost optimisation, as well as strong SQL and Python skills and proven experience building reliable, scalable data pipelines. Experience with Databricks is beneficial.
• You are experienced in dbt-based transformation workflows as well as schema migration approaches and understand how to integrate modern data platforms effectively.
• You have a solid understanding of ETL/ELT concepts with a batch‑oriented mindset and are open to evolving toward streaming, supported by strong data modelling fundamentals across normalised and analytical structures.
• You are experienced in orchestration, cloud platforms (AWS and/or Azure), and the operation and modernisation of legacy systems, and you follow best practices in CI/CD and Git-based development.
• You bring a strong focus on data quality, observability, reliability, and platform governance, and would stand out with additional experience in Infrastructure‑as‑Code (e.g., Terraform), open table formats (Delta Lake, Iceberg), streaming technologies (e.g., Kafka, Event Hubs, Kinesis), FinOps practices, or data contracts and schema evolution.

Benefits

• Modern tech environment: Work with state‑of‑the‑art tools and technologies in a collaborative and forward‑thinking data environment.
• Cross‑functional teamwork: Close collaboration with various teams in an open and supportive working environment that supports continuous learning and skill development.
• Additional perks and benefits: Job bike leasing, e‑charging stations, public transport tickets, access to a company doctor, and height‑adjustable desks in the office.
• 30 fixed vacation days per year and flexible working hours.

Equal Opportunity Statement

Diversity is one of our core values. We are convinced that our teams, drawn from all backgrounds and with different experiences, are a key driver of our success. The Group is committed to a policy of equal opportunities and inclusion, from recruitment to career development, and we strive to provide an equitable working environment to promote the well‑being of our teams.