Bucharest - Dacia One, Romania
Onsite
Discover ING Hubs Romania
ING Hubs Romania offers 130 services in software development, data management, non-financial risk & compliance, audit, and retail operations to 24 ING units worldwide, with the help of over 2000 high-performing engineers, risk, and operations professionals.
We started out in 2015 as ING’s software development hub, then steadily expanded our range to include more services and competencies. Now we provide borderless services with bank-wide capabilities and operate from our office in Bucharest.
Our tech capabilities remain the core of our business, with more than 1800 colleagues active in Data Management, Touchpoint Channels & Integration, Core Banking, and Global Products.
We enjoy a flexible way of working and a highly collaborative environment, where fair and constructive feedback is encouraged.
For us, impact isn't a perk. It's the driver of our work. We are guided and rewarded by a shared desire to make the world a better place, one innovative solution at a time. Our colleagues make it their job to do impactful things and they love doing it in good company. Do you?
The mission
We're looking for a Senior Data & Analytics Engineer to join the Investment Tribe. This role is primarily focused on data pipelines and business data translation (70%) with a complementary focus on advanced analytics and business insights (30%).
You will play a key role in shaping the investment data landscape, enabling strategic decision-making, supporting regulatory initiatives, and driving data-driven innovation across investment products and customer journeys.
Your day to day
Analytics Engineering & Business Data Translation
Collaborate with business stakeholders, investment product owners, and cross-functional squads to understand business objectives, processes, and data needs.
Translate business requirements into scalable data models, engineering specifications, and end-to-end data solutions.
Design, build, and optimize robust data pipelines and data transformation frameworks supporting investment use cases. Develop and maintain high-quality, reusable, and scalable datasets aligned with enterprise data standards.
Ensure data consistency, lineage, governance, and quality across investment data domains.
Work closely with engineers, and platform teams to implement modern data engineering practices.
Drive automation of data ingestion, transformation, validation, and reporting workflows.
Support regulatory, risk, and compliance reporting through reliable and governed data assets.
Contribute to the evolution of ING Belgium’s investment data strategy and data platform capabilities.
Enable self-service analytics by delivering trusted semantic layers, curated datasets, and scalable reporting foundations.
Identify opportunities to improve system performance, data reliability, and operational efficiency.
Partner with business and technology teams to define KPIs, business rules, and data definitions.
Document functional and technical data flows, business logic, and transformation rules.
Promote best practices in data engineering, data governance, and agile delivery.
Data Analytics & Insights (30%)
Perform advanced data analysis to support commercial, strategic, and operational decision-making.
Develop dashboards, KPI reporting, and analytical solutions for investment product performance and customer behavior.
Deliver actionable insights on investment trends, portfolio performance, sales performance, and customer engagement.
Support stakeholders with ad-hoc analysis and business performance monitoring.
Translate analytical findings into clear recommendations for business and leadership teams.
Contribute to predictive analytics and trend analysis initiatives where relevant.
Promote a strong data-driven culture and improve data literacy within the Investment Tribe.
What you'll bring to the team
Skills & experience:
7+ years of experience in data engineering, data analytics, or data management within financial services, banking, investment, or wealth management environments.
Strong expertise in translating business requirements into technical data solutions and scalable engineering deliverables.
Advanced SQL expertise with strong hands-on experience in data transformation and optimization.
Strong experience with modern data engineering concepts including ETL/ELT, data modeling, orchestration, and pipeline automation.
Proficiency in analytics and reporting tools such as Power BI, Excel, and SAS and familiarity with Python.
Experience working with investment data including mutual funds, ETFs, discretionary portfolios, and related performance metrics.
Solid understanding of data governance, data quality management, and metadata management principles.
Proven experience working in agile environments with cross-functional teams.
Strong stakeholder management and communication skills with the ability to simplify complex technical concepts.
Strong analytical mindset with the ability to connect business processes, data structures, and customer behavior.
Nice to have:
Experience with cloud-based data platforms and enterprise data ecosystems.
Knowledge of regulatory reporting and financial data controls within banking or investment domains.
Exposure to predictive analytics, machine learning, or advanced statistical analysis.
Experience designing scalable semantic models and reusable analytical data products.
Ability to coach, mentor, and support teams in adopting data-driven ways of working.
Strong curiosity and passion for understanding data flows, systems, and business processes end-to-end.
If you want to deep dive into the processing of personal data conducted by ING Hubs Romania during the recruitment process and your rights related to it, read the privacy notices on our website (make sure to scroll until you reach the Data Protection section/ Candidates tab).
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