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Data Engineer & Analyst
 Bombay Group OÜ
Data Engineer & Analyst
Bombay Group OÜ
Data Engineer & Analyst
 Bombay Group OÜ

Data Engineer & Analyst

Bombay Group OÜ

Bombay is a collection of land-based and online casino, entertainment and hospitality brands, crafted to deliver luxury in every detail - from our exquisite facilities to our personalised service and the unique stories we inspire. Located in the heart of Tallinn, Bombay redefines luxury VIP experiences with its exclusive Bombay casino club, The Burman boutique hotel, restaurants, bars, spa, and bakery, embodying the spirit of elegance and refinement.

Purpose of the role:

As Data Engineer & Analyst you will play a key role at the intersection of engineering and analytics, building data foundations while turning information into actionable insights. In this new role, youll design and maintain pipelines that ensure accuracy and integrity, while also delivering clear analysis, reports, and dashboards to support decision-making. 

Working across CRG (Compliance, Risk, and Governance), Product, Operations, and other functions, youll gain exposure to diverse areas of the business, from gaming and crypto to fintech and hospitality, and help establish data as a true driver of growth and innovation at Bombay.

How you will contribute: 
  • Design, build, and maintain scalable ETL/ELT pipelines to integrate data from multiple sources.
  • Manage and optimise data warehouses, databases, and data lakes.
  • Safeguard data integrity, ensuring accuracy, reliability, and readiness for business use.
  • Develop and implement solutions that enhance data availability and usability across teams.
  • Partner with stakeholders across CRG, Product, Operations, and other functions to understand data requirements.
  • Create dashboards, reports, and self-service tools that make data accessible and actionable.
  • Perform in-depth analyses to uncover trends, opportunities, and risks.
  • Present findings clearly, tailoring insights for both technical and non-technical audiences.
What we are looking for:
  • 2–4+ years of experience in data engineering, data analysis, or a hybrid role.
  • Strong SQL skills with hands-on experience in data modeling.
  • Proficiency in Python (or R) for data wrangling, transformation, and analysis.
  • Experience with ETL/ELT tools (e.g., dbt, Airflow) and modern data pipeline design.
  • Familiarity with data warehouse platforms such as Snowflake, BigQuery, or Redshift.
  • Skilled in BI/visualisation tools such as Tableau, Power BI, or Looker.
  • Strong analytical mindset with proven problem-solving ability.
  • Ability to work effectively across business functions and translate complex data into actionable insights.
  • Proficiency in English is required.
The team by your side:

Youll report to the Head of Governance and collaborate closely with teams across CRG, Product, Operations, and other areas of the business. Bombay is already 400+ people and still growing.

Why join Bombay? 

Youll be joining at a very exciting time, in a vibrant and fast-paced work culture where things are constantly evolving.

  • Celebration & Time off: A birthday day off, and paid vacation days for personal milestones (e.g., childs first school day, marriage), 3 wellness days per year. Additional team perks to celebrate birthdays and work anniversaries.
  • Health & Wellness: Private health insurance with Salu Digital Healthcare Platform, monthly sports compensation with Stebby. Paid sick leave from the 2nd day.
  • Learning & Development: Generous learning & development package (personal development plan & trainings, company-wide knowledge sharing & trainings).
  • Investment Opportunities: Opportunity to invest in the Groups own venture fund, Yolo Investments.
  • Working Environment: A comfortable workspace in the city center with plenty of fruits, snacks, and drinks.
  • Networking Opportunities: Events and networking opportunities with colleagues.
  • Parking:  Free parking at the office.
Selle ametikoha keskmise palga info leiad aadressilt palgad.ee.

Asukoht

    Tallinn, Harjumaa, Eesti
    Kai 4, 10111 Tallinn, Estonia

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Eneli Palloson


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