← Back to all jobs

Senior Data Engineer

NAGA logo

NAGA

📍 Bucureşti, România💰Competitive🕐 Posted
Data Engineer
sqlpythonmicrosoft-fabricpower-bipostgreskafkagit
Apply

Job Description

About Us

NAGA is an innovative fintech company revolutionizing finance by making trading and investing accessible to everyone with advanced tools that give power to all. We are creating new solutions for millions of people around the world. With a start-up DNA and a corporate mindset, we are fast and flexible while committed to helping our people develop and thrive. We are a vibrant, diverse community of visionaries and problem-solvers fueled by curiosity and collaboration, where your influence goes beyond existing products – you are actively shaping the future of finance.

The Role

We are hiring a Senior Data Engineer to join our Data Platform & Engineering team, reporting to the Head of BI. You will own the source-to-warehouse pipelines on Microsoft Fabric, harden the data-quality layer, and partner closely with the Analytics & Reporting team so that every Group KPI is computed once, correctly, and from a single semantic source. This is a senior individual-contributor role: you will set patterns, mentor mid-level Data Engineers in the team, and have direct influence on the data architecture across all reporting data flows.

Location: Bucharest (hybrid).

Responsibilities

  • Design, build, and operate ingestion pipelines from source systems (ERP, CRM, MT5, PSPs and banks, Everflow, BigQuery and multiple other sources) into Microsoft Fabric.
  • Own the medallion architecture (bronze → silver → gold) pipeline transformations, including SCD Type 2 dimensional modelling for customer, broker server, product, and partner dimensions.
  • Maintain the dbt-style semantic layer that feeds Power BI and Reporting so KPI definitions stay aligned across consumption layers.
  • Set and meet pipeline SLAs — NRT, T+1 for the CEO daily pack at 09:00 CET, near-real-time freshness — and publish the Known Issues register when anything misses SLA.
  • Optimise Fabric compute and storage cost, monitor capacity headroom, and recommend right-sizing.
  • Maintain the data dictionary across bronze / silver / gold / NRT layers, and contribute to the KPI Dictionary as the single source of truth.
  • Mentor the team on Fabric patterns, reconciliation discipline, and review craft. Be the engineer the team escalates to when a pipeline misbehaves.

Requirements

  • 5+ years in data engineering, with at least 2 years on a modern cloud data platform (Microsoft Fabric, Databricks or equivalent).
  • Strong SQL — advanced window functions, query optimisation, ability to read execution plans — and a track record of building production pipelines at scale.
  • Hands-on dimensional modelling experience: Kimball patterns, SCD Type 2, fact vs dimension tradeoffs.
  • Python for pipeline code, plus experience with at least one orchestration / transformation framework (Fabric Data Pipelines, Azure Data Factory etc).
  • Experience operating a streaming or near-real-time layer (KQL / Eventhouse, Kafka or equivalent).
  • Strong reconciliation and data-quality discipline — you are comfortable owning a number end-to-end across multiple source systems and standing behind it.
  • Git and code-review fluency, with disciplined documentation habits.
  • Professional English, written and spoken.

Nice to Have

  • Microsoft Fabric specifically: Lakehouse, Warehouse, Eventhouse, semantic-model authoring.
  • Experience in a regulated industry — CFD / FX brokerage, banking, asset management, working awareness of CySEC, MiFID II, or equivalent prudential frameworks.
  • Power BI semantic-layer authoring and DAX, even at a basic level — enough to speak fluently with the Analytics & Reporting team.
  • PostgreSQL logical replication / azure_cdc / Fabric mirroring experience.
  • ERP or trading-platform integration experience.
  • ML and AI modelling.

Tech Stack

Microsoft Fabric (Lakehouse, Warehouse, Eventhouse), Power BI, PostgreSQL, MySQL, Python, SQL and Git.

Benefits

  • Global Career Evolution: Ready to grow fast and achieve your dreams? At NAGA, your passion and curiosity are the keys to unlocking exciting opportunities. Dive into a dynamic, international environment where innovative ideas and diverse perspectives drive success. Every project is a chance to create meaningful impact, expand your horizons, and shape the future. With the support of a global team, your hard work will propel you to new heights.
  • Skill Hyper-Growth: If you are eager to stay ahead and challenge the future, NAGA is the right place for you. With top-tier training, certifications, and cross-functional projects, you will gain the skills to lead and innovate. Our culture of continuous learning means you will never stop growing, and you will have endless opportunities to collaborate and share knowledge with others. Together, we turn bold ideas into realities that make a difference.
  • Connection & Belonging: Belonging to a supportive, vibrant team makes all the difference. We believe that when people feel connected, they perform at their best. We offer endless opportunities to build genuine relationships through exciting activities and shared experiences. With us, you are not just joining a team – you are becoming part of a diverse, empowering community where everyone lifts each other up and celebrates success together.
  • Reward & Recognition: In a world that is always changing, we ensure you feel secure and appreciated. Along with a competitive salary that reflects your expertise, we offer performance bonuses to reward your accomplishments. Your dedication doesn't go unnoticed here – we celebrate your wins, big and small, and make sure you are always recognized for the value you bring to the team.

Unchain Data provides Web3 data job aggregation as a common good. Jobs are posted by third parties and are not individually verified. Always exercise caution: never download software requested during a hiring process, avoid clicking unfamiliar links in interviews, make sure to verify URLs are legit, and use trusted meeting tools like Google Meet or Zoom.

Hiring Web3 data talent?

Get expert help sourcing, evaluating, and onboarding data professionals.