Betfair Romania Development

Data Engineering Manager

Betfair Romania Development

full-time

Posted on:

Location Type: Hybrid

Location: Cluj-Napoca • 🇷🇴 Romania

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Job Level

Mid-LevelSenior

Tech Stack

AirflowAWSAzureCloudGoogle Cloud PlatformJavaKafkaPythonScalaSparkSQL

About the role

  • Lead a team of data engineers through coaching, mentorship, and technical guidance
  • Support individual career development and performance feedback, creating growth opportunities for your team
  • Foster a collaborative, inclusive, and high-performance team culture
  • Guide the design and implementation of scalable data platforms, and data products
  • Review architecture and code, provide technical direction, and help resolve complex engineering challenges by being hands-on when needed
  • Ensure delivery of high-quality, reliable solutions aligned with business goals and engineering best practices
  • Partner with product managers, data scientists, analysts, and business stakeholders to understand requirements and prioritize work
  • Translate business needs into actionable engineering detailed plans and ensure timely delivery of key projects
  • Communicate clearly across technical and non-technical teams to align on priorities and progress
  • Promote operational stability and reliability of data pipelines and systems through monitoring, alerting, and incident response
  • Advocate for high standards in data quality, governance, and compliance by collaborating with platform and data governance teams
  • Drive continuous improvement in development workflows and team productivity

Requirements

  • 4+ years of experience in data engineering or software engineering, with at least 1–2 years in a team leadership or mentorship role.
  • Strong technical background in building and maintaining data pipelines and platforms using tools like Kafka, Spark, Databricks, and/or Airflow.
  • Proficiency in one or more programming languages (e.g., Python, Scala, or Java) and SQL.
  • Experience with cloud data platforms (e.g., AWS, GCP, or Azure).
  • Strong communication and collaboration skills with a passion for working across teams.
  • Prior experience in a people management or tech lead role within a data engineering or platform engineering team (preferred).
  • Familiarity with streaming architectures, data observability and governance, and machine learning workflows (preferred).
  • Experience working in a product-driven, customer-focused organization (preferred).
  • Understanding of data privacy, security, and compliance frameworks (preferred).
Benefits
  • Hybrid & remote working options
  • €1,000 per year for self-development
  • Company share scheme
  • 25 days of annual leave per year
  • 20 days per year to work abroad
  • 5 personal days/year
  • Flexible benefits: travel, sports, hobbies
  • Extended health, dental and travel insurances
  • Customized well-being programmes
  • Career growth sessions
  • Thousands of online courses through Udemy
  • A variety of engaging office events

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringsoftware engineeringdata pipelinesdata platformsprogramming languagesSQLstreaming architecturesdata observabilitymachine learning workflowsdata governance
Soft skills
team leadershipmentorshipcommunicationcollaborationcoachingperformance feedbackproblem-solvingtechnical guidanceinclusive culturecontinuous improvement