13 days ago

Data Engineer

Betfair Romania Development

On Site
Full Time
€120,000
Cluj-Napoca, Cluj, Romania

Job Overview

Job TitleData Engineer
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary€120,000
LocationCluj-Napoca, Cluj, Romania

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Job Description

About Betfair Romania Development

Betfair Romania Development is the largest technology hub of Flutter Entertainment, powering leading sports betting and iGaming brands. Located in Cluj-Napoca, the team delivers exciting, immersive, and safe experiences to over 18 million customers worldwide.

About Betnacional

Founded in 2021, Betnacional was one of the first betting platforms to secure an operating license in Brazil. In 2025, Betnacional, together with Betfair Brazil, established Flutter International’s fifth region: Flutter Brazil, combining speed, innovation, and a strong connection with Brazilian players.

Role Overview

As a Data Engineer, you will build and maintain scalable, high-performance data pipelines. Your role involves transforming raw data into trusted datasets and enabling better decision-making. Working closely with cross-functional teams, you will design batch and streaming workflows and support our growing data platform with a focus on performance, automation, and reliability.

Key Accountabilities & Responsibilities

  • Build and maintain batch and real-time data pipelines using modern data tools and cloud platforms.
  • Monitor internal dashboards to identify and escalate production issues.
  • Respond to support requests from data users regarding data access and performance.
  • Collaborate with engineers, analysts, and project managers to ensure smooth data operations.
  • Document pipelines, systems, and troubleshooting procedures.
  • Promote data quality and governance in our information environment.

What You’ll Learn And Be Exposed To

  • Building, running, and maintaining large-scale data pipelines.
  • Working with APIs and real-time data ingestion.
  • Utilizing tools like Airflow, Databricks, Great Expectations, and Alation.
  • Collaboration with experienced senior data engineers and mentors.
  • Continuous integration and delivery of data solutions in production.

Skills, Capabilities & Experience Required

  • Strong foundation in SQL and a programming language (Python, Java, Scala).
  • Experience with ETL/ELT processes and data ingestion techniques.
  • Hands-on experience with Databricks and Apache Spark.
  • Familiarity with data orchestration tools such as Airflow and monitoring tools like Datadog.
  • Good communication, collaboration, and a growth mindset.

Nice To Have

  • Experience with observability and performance tools (Datadog, Dynatrace).
  • Knowledge of containers and orchestration (Docker, Kubernetes).
  • Understanding of Domain-Driven Design and data governance practices.
  • Experience with high-volume, high-performance production environments.

Benefits

  • Hybrid & remote working options.
  • €1,000 per year for self-development.
  • Company share scheme.
  • 25 days annual leave, plus extra days for working abroad and personal use.
  • Flexible benefits including extended health, dental and travel insurances.
  • Opportunities for career growth and access to thousands of online courses.

Disclaimer

We are an inclusive employer. Diverse experiences and perspectives create lasting, positive impacts. Not all requirements must be met to apply. Applications may be adjusted based on candidate needs.

Key skills/competency

  • Data Pipelines
  • ETL
  • SQL
  • Python
  • Apache Spark
  • Databricks
  • Airflow
  • Data Governance
  • Cloud Platforms
  • Data Quality

Tags:

data engineer
ETL
SQL
Python
Apache Spark
Databricks
Airflow
Cloud
data pipelines
data quality
streaming
batch processing
AWS
Big Data
governance
CI/CD
Git

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How to Get Hired at Betfair Romania Development

  • Customize your resume: Highlight relevant ETL and SQL expertise.
  • Research Betfair Romania Development: Understand their tech and values.
  • Tailor your cover letter: Focus on data pipeline projects.
  • Prepare for technical interviews: Review Apache Spark and Databricks.
  • Practice problem solving: Demonstrate real-time data challenges.

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