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1 день назад

Senior Data Engineer (iGaming)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/Sweden
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Engineer (Python/Spark/Lakehouse): Building and optimizing scalable ETL/ELT pipelines and Lakehouse architectures across a modern multi-cloud gaming platform with an accent on Python, Spark, Airflow, dbt, and data quality. Focus on designing medallion-style architectures, implementing data contracts and observability, and improving pipeline efficiency through streaming and AI tooling.

Location: London, United Kingdom or Stockholm, Sweden

Company

hirify.global is a major European betting and gaming operator with more than 5,000 employees across around fifteen regulated markets.

What you will do

  • Build and optimize scalable ETL/ELT pipelines using Python, SQL, Spark/PySpark, Airflow, and dbt.
  • Design medallion-style Lakehouse architectures with S3 and modern table formats such as Iceberg and Delta Lake.
  • Create reusable platform frameworks, data contracts, CI/CD pipelines, and observability practices.
  • Implement data validation frameworks, monitoring, and SLIs/SLOs for critical pipelines.
  • Contribute to an agile team modernizing a multi-cloud data platform and improving efficiency through automation and AI tooling.

Requirements

  • At least 5 years of data engineering experience.
  • Strong proficiency in Python, advanced SQL, Airflow, Spark/PySpark, dbt, and CI/CD.
  • Experience with Lakehouse architectures, dimensional modeling, and cloud data warehouses including S3, Athena, and Redshift.
  • Expertise in data quality frameworks, monitoring, schema evolution, and data contracts.
  • Ability to work from London or Stockholm.

Nice to have

  • Experience with Kafka or Kinesis streaming platforms.
  • Experience with AI coding assistants such as Cursor, Claude Code, or Copilot.
  • Terraform, Kubernetes, or Docker experience.
  • Data catalog and metadata management experience.

Culture & Benefits

  • Learning and development opportunities.
  • Social events and activities.
  • Inclusion networks and an Employee Assistance Programme.
  • Private medical insurance and pension.
  • Long service awards.

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