Senior Data Engineer (Google Cloud, Python, SQL, PySpark)

About the role

ING Wholesale Banking's Financial Markets Client Control (FMCC) unit supports 26 countries worldwide and ensures control across the client lifecycle, from onboarding to exit, for Financial Markets, Group Treasury, Global Capital Markets and Bank Mendes Gans. Working in an Agile environment moving towards DevOps, the Senior Data Engineer designs, builds and maintains scalable, secure and governed data solutions, translating business and regulatory needs into data products, pipelines, models and reporting. The role reports functionally to the Data Domain Area Lead in Amsterdam and hierarchically to the FMCC Data Solutions Lead in Bratislava.

Key responsibilities

• Design, develop and maintain scalable data pipelines and products across ingestion, transformation, storage and consumption.
• Build reliable ETL/ELT processes with controls for data quality, lineage and traceability.
• Ensure quality through automated testing, code reviews, CI/CD, monitoring and operational ownership.
• Manage deployments across development, test and production and assess change impact with stakeholders.
• Partner with analysts, product owners, data scientists and business stakeholders to prioritise work.
• Maintain technical documentation and explore data assets for advanced analytics and AI.
• Coach and mentor colleagues, contribute to Agile ceremonies and promote reusable solutions and shared standards.

Required profile

• 3+ years of experience in data engineering.
• Strong experience with production-grade data pipelines and platforms.
• Hands-on experience with workflow orchestration tools such as Apache Airflow.
• Experience supporting production environments, including incident management, monitoring and root cause analysis.
• Excellent written and verbal English.

Required skills

• Python, SQL and PySpark.
• Google Cloud Platform, including BigQuery, and cloud object storage (GCS, S3, ADLS Gen2).
• Git-based workflows, CI/CD pipelines and data modelling, data lakes and data warehousing.
• Nice to have: Power BI, Cognos, Tableau or Looker; dbt; distributed cluster management; KYC and financial regulations (EMIR, MiFID, SFTR, AFSL, MAS); regulated financial services experience.

What we offer

• Gross wage from 3,026 EUR per month, negotiable at interview.
• Flexible hours, work from home and a shorter daily schedule of 7h 45min.
• Sick leave compensation up to 80%, life insurance and 3rd pillar contributions.
• Internal and external learning, team events and extra personal and vacation days.
• Referral bonuses, childcare/wedding/work anniversary awards and a yearly performance bonus.
• Cafeteria points, home office contribution, store discounts and a pet-friendly office.