What you'll do
Design, develop and maintain scalable data pipelines and data products across ingestion, transformation, storage and consumption layers.
Translate business and regulatory requirements into robust technical solutions, governed data models and reporting capabilities.
Build reliable ETL/ELT processes with appropriate controls for data quality, lineage and traceability.
Contribute to solution design and technical standards for scalable, maintainable and compliant data solutions.
Ensure engineering quality through automated testing, code reviews, CI/CD practices, monitoring and operational ownership.
Manage deployments of new and enhanced data solutions across development, test and production environments.
Assess the impact of changes and support successful implementation through close stakeholder collaboration.
Partner with analysts, product owners, data scientists and business stakeholders to prioritize work and deliver against agreed objectives.
Maintain accurate technical documentation, design decisions and operational procedures.
Explore opportunities to leverage data assets for advanced analytics and AI-driven use cases.
Coach and mentor team members while driving knowledge sharing and engineering excellence.
Contribute actively to Agile ceremonies and support transparent planning and delivery.
Promote reusable solutions, shared standards and cross-functional collaboration across FMCC.
Required skills and experience
3+ years of experience in data engineering.
Strong experience designing, building and operating 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 workflows and collaborative software engineering practices.
Experience working with relational and non-relational data platforms and large-scale data processing using Apache Spark.
Hands-on experience with workflow orchestration tools such as Apache Airflow.
Strong understanding of data modelling, data integration, data lakes and data warehousing concepts.
Experience with cloud object storage technologies 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 environments, including incident management, monitoring and root cause analysis.
Excellent written and verbal English communication skills
Nice to have
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 (know your client) 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.
Personal competencies
Strong ownership mindset with a hands-on and pragmatic approach.
Collaborative team player.
Ability to simplify complex topics and explain technical concepts to non-technical audiences.
Strong analytical and problem-solving skills.
Comfortable working in a dynamic international environment.
Resilient and adaptable, with the ability to navigate ambiguity and drive outcomes.
Passion for continuous improvement, learning and knowledge sharing.
What's in it for you?
At ING, you'll work in an international environment where innovation, collaboration and personal growth are encouraged. We offer a challenging role with significant impact, opportunities to develop your expertise, and the chance to contribute to strategic initiatives within a global organization.
Wage (gross) from 3 026 EUR/month
By legal requirement we are providing the information about the basic wage component (minimum salary) for the advertised position. Based on your experience/profile, the final financial conditions will be the subject to discuss and negotiate at the personal interview, however, not less than above mentioned minimum salary component.
We offer you a bunch of great benefits
Friendly working environment
You build your own working day - flexible working hours and work from home
Daily working time: 7hrs 45min instead of standard 8hrs
Daily refreshments - coffee, fruits, drinks
Fully equipped gym accessible 24 hours / 7 days per week
Game room with unlimited access
Modern designed coffee corner and terrace with the grill spot
WellbeING
Sick leave compensation: up to 80% of the monthly salary
Life insurance contribution: up to 22,14 EUR/per month
3rd pillar contribution: up to 3% from your monthly salary
24/7 external mental health support
Learning opportunities: internal and external learning programs
Regular teambuildings, social events and communities
YOU/family/friends time
Extra 3 PERSONAL days per year
Extra vacation days: up to 10 extra days/per year
We welcome your ING-positive friends: referrals starting from 1000 EUR
150€ for childbirth/adoption bonus, wedding day and registered partnership contributions, work anniversary award
Our premises are open 24/7 and you can even bring your friends or family along (up to 2 friends to the gym and game room)
Extra perks
Yearly bonus based on your performance and company’s results
Cafeteria points: 50€/month (600€/year) - choose when and how to spend them
Home office contribution: 20 EUR/per month
Discounts from our and your favorite stores: up to 30%
Warm welcome package for your fresh start
Pet friendly office
