Team Leader (Data & AI, Data Financial Insights)

Team Leader (Data & AI, Data Financial Insights)

We’re seeking a Team Leader for our Data Financial Insights team. The team builds the data products for finance, vouchers and products: revenue, margin, costs, payments, refunds and returns, and the reporting that finance and leadership rely on to make decisions, so accuracy matters. You’ll be both a hands-on technical reference and a people leader: you’ll own how our data is modeled, lead the team’s technical direction, grow engineers at every level of seniority and keep delivery on track when deadlines are tight.

What you’ll have to do:

Technical leadership

Data Modeling: Own the data model for finance, vouchers and product data: lead modeling decisions (dimensional models, star schemas, slowly changing dimensions, finance logic such as revenue recognition and reconciliations) and review the team’s models before they reach production;

Architecture: Define the architecture of the team’s data products on the medallion framework (bronze,silver, gold);

Code Quality & Standards: Make sure the team follows the department’s standards for code, testing,documentation and CI/CD in dbt, Airflow and Git, and help improve them;

Governance: Keep data discoverable and owned in DataHub (lineage, ownership, metadata, glossary) and consumable by business users in Tableau and other channels;

Migrations: Lead the move from legacy pipelines and tools to our modern stack, with minimal disruptionto finance reporting;

Hands-on Delivery: Review designs and merge requests and build and optimize pipelines where it adds the most value.

People leadership

Manage, coach and develop five engineers of different seniority: goal setting, feedback and career growth;

Lead by example and build a team where juniors learn quickly and seniors are challenged and recognized;

Handle conflict constructively, inside the team or with stakeholders;

Run team rituals (planning, retrospectives, 1:1s) and support hiring and onboarding.

Delivery and collaboration

Work closely with our Product Owner, who handles business priorities, to plan the roadmap and balance new development, maintenance and technical debt;

Collaborate with the other data domain teams, the business analyst teams, DataOps, Data Platform andAI to turn requirements into reliable solutions;

Keep delivery on track under strict deadlines, making clear trade-offs and communicating risks early;

Own data quality and reliability: SLAs, monitoring, incident response and post-mortems.

What we are looking for:

Modeling Mindset: Thinks in entities, grain and business definitions before writing code, and can explain why a model is built the way it is;

Leading by Example: Sets high standards through their own work and behaviour, and takes ownership of results;

Coaching: Adapts their style to juniors, mid-levels and seniors;

Calm under Pressure: Prioritizes clearly when deadlines are tight and addresses tension early, fairly and directly;

Effective Communication: Explains complex technical topics clearly to technical and non-technical stakeholders, and can say “no” with good arguments when a deadline puts quality at risk;

Business Mindset: Understands how data supports finance and company decisions;

Adaptability: Comfortable with legacy systems, new tools and ongoing change.

What makes you a good fit:

Bachelor’s degree in Computer Science, Data Science or a related field;

Minimum 5 years of experience in data engineering, including leading or mentoring engineers (formally or as a tech lead);

Proven data modeling skills: dimensional modeling (facts, dimensions, star schema), grain and keys,history (SCD), late-arriving data and corrections;

Strong hands-on SQL and Python / PySpark, including performance optimization;

Good knowledge of the medallion architecture and modern data warehouse / lakehouse practices;

Experience with legacy systems and migration projects: understanding older pipelines and historical data issues, and moving them to new tools;

Knowledge of development best practices: code review, testing, documentation, CI/CD;

Proficient English, written and spoken.

What makes you stand out: (optional)

dbt, Airflow and Impala (we can help you get up to speed);

Experience with finance data (revenue, accounting, controlling, payments) or e-commerce / retail data(vouchers, product catalog);

Experience with DataHub or similar data catalogs, data quality frameworks and observability;

Experience building dashboards or semantic layers;

Experience with cloud platforms and cloud migrations.

Our tech stack:

dbt · Airflow · PySpark · Impala · DataHub · Git · Tableau · AI agents · Medallion architecture

What we’ve prepared for you:

Medical subscription: Medicover or Regina Maria.

A flexible budget that you can invest in yourself as you wish: meal tickets, holiday tickets, cultural vouchers, private pension, foreign language classes, eMAG, Fashion Days, Therme & Genius, membership to different gyms or even professional development classes.

Different discounts from our partners: banking, mobile, dental medicine or wellness.

Access to the Bookster library and free credits on the Hilio psycho-emotional health platform.

An accelerated learning environment, with access to over 100.000 curated online resources and platforms, learning academies and development programs.

New headquarters, where sleek design, natural light, and versatile spaces create an energizing and comfortable environment for hybrid work.