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

Description

The FMCC team sits inside the Financial Markets unit of the company's wholesale banking division and supports 26 countries.

FMCC oversees client control across the whole relationship, from onboarding to exit, for Financial Markets, Group Treasury, Global Capital Markets and one further banking entity.

The team works in Agile fashion and is moving toward DevOps ways of working.

Responsibilities

• Design and build data pipelines and data products spanning ingestion, transformation, storage and consumption.
• Turn business and regulatory needs into sound technical solutions, governed data models and reporting.
• Build dependable ETL and ELT processes with checks for data quality, lineage and traceability.
• Help shape solution designs and technical standards that are scalable, maintainable and compliant.
• Keep engineering quality high through automated tests, code reviews, CI/CD, monitoring and owning systems in operation.
• Run deployments of new and changed data solutions across development, test and production.
• Assess how changes affect other systems and support their rollout by working closely with stakeholders.
• Work with analysts, product owners, data scientists and business stakeholders to set priorities and hit agreed goals.
• Write and maintain technical documentation, design decisions and operating procedures.
• Look for ways to use data assets in advanced analytics and AI use cases.
• Coach and mentor colleagues and encourage knowledge sharing.
• Take part in Agile ceremonies and help keep planning and delivery transparent.
• Encourage reusable solutions, shared standards and collaboration across FMCC.
• You will build data solutions end to end, from design through deployment, monitoring and support, and help set engineering standards and a strong engineering culture.
• You will share knowledge, coach others and promote collaboration and continuous improvement in line with the company's principles and values.
• The role reports functionally to the Data Domain Area Lead in Amsterdam and hierarchically to the FMCC Data Solutions Lead in Bratislava.

Requirements

• 3+ years of experience in data engineering.
• Experience building and running production-grade data pipelines and data platforms.
• Proficiency in Python, SQL and PySpark.
• Experience with Google Cloud Platform (GCP), including BigQuery.
• Experience with Git-based development and collaborative software engineering.
• Experience with relational and non-relational data platforms and large-scale processing with Apache Spark.
• Hands-on experience with workflow orchestration tools such as Apache Airflow.
• Solid understanding of data modelling, data integration, data lakes and data warehousing.
• Experience with cloud object storage such as Google Cloud Storage (GCS), Amazon S3 and Azure Data Lake Storage Gen2 (ADLS Gen2).
• Experience with automation, CI/CD pipelines and modern software engineering practices.
• Experience supporting production systems, including incident management, monitoring and root cause analysis.
• Excellent written and spoken English.
• Experience with Power BI, Cognos, Tableau or Looker.
• Experience with dbt or other modern data transformation frameworks.
• Experience managing distributed data processing platforms and clusters.
• Familiarity with Financial Markets and Group Treasury products and processes.
• Knowledge of KYC processes and financial regulations such as EMIR, MiFID, SFTR, AFSL and MAS.
• Understanding of financial market participants, including brokers, central counterparties (CCPs) and trading venues.
• Experience working in a regulated financial services environment.
• A strong sense of ownership with a hands-on, pragmatic approach.
• A good team player who collaborates well.
• Ability to explain complex topics clearly to non-technical audiences.
• Strong analytical and problem-solving skills.
• Comfortable in a dynamic international setting.
• Resilient and adaptable, able to work through ambiguity and deliver results.
• A drive to keep improving, learning and sharing knowledge.

Conditions

Your daily working time is 7 hours 45 minutes instead of the standard 8 hours.

You set your own working day with flexible hours and can work from home.

The premises are open 24/7.

The base salary starts at 3 026 EUR gross per month. This is the legally required minimum for the position; final pay will be discussed at interview based on your experience and profile, and will not be lower than this minimum.

The company welcomes applicants of all backgrounds.

Benefits

• Sick leave pay of up to 80% of monthly salary.
• Life insurance contribution of up to 22,14 EUR per month.
• 3rd pillar pension contribution of up to 3% of your monthly salary.
• 24/7 external mental health support.
• Internal and external learning programs.
• Regular team events, social activities and interest communities.
• Extra 3 personal days per year.
• Up to 10 extra vacation days per year.
• Yearly bonus based on your performance and the company's results.
• Cafeteria points worth 50€ per month (600€ per year), spent when and how you choose.
• Home office contribution of 20 EUR per month.
• Referral bonus starting from 1000 EUR for friends you refer who join.
• 150€ for childbirth or adoption, a wedding or registered partnership, and work anniversaries.
• Daily refreshments including coffee, fruit and drinks.
• Fully equipped gym open 24 hours a day, 7 days a week, with unlimited access to a game room.
• A coffee corner and terrace with a grill spot.
• Bring friends or family to the gym and game room, up to 2 guests.
• Discounts of up to 30% at partner stores.
• A welcome package for new joiners.
• The office is pet friendly.