Data Engineer

Sporty Group
Europe
Workplace: RemoteFull timeFunction: Data Analytics & Business IntelligenceExperience: 3+ yearsEducation: bachelorsSkills: ["Data quality","Data accuracy","Process improvement","Cross-functional communication"]

Design, build, test, optimize, and maintain scalable batch ETL and near-real-time data pipelines and architectures to support ML and data science. Ensure high-quality, accurate data, improve internal data delivery processes, and build API integrations as data volume grows. Collaborate with data scientists, MLOps, product owners, and BI analysts, using SQL, Python, Airflow, Spark, and AWS services.

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FursaFursa
Sporty Group
Sporty Group
1 day ago

Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 41 minutes agoStatus: Live

Job Summary

Design, build, test, optimize, and maintain scalable batch ETL and near-real-time data pipelines and architectures to support ML and data science. Ensure high-quality, accurate data, improve internal data delivery processes, and build API integrations as data volume grows. Collaborate with data scientists, MLOps, product owners, and BI analysts, using SQL, Python, Airflow, Spark, and AWS services.
Location: Europe
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and maintain scalable batch ETL and near-real-time data pipelines and architectures for business use cases
  • •Ensure data quality, accuracy, and consistency across delivered datasets
  • •Identify, design, and implement internal process improvements to optimize data delivery and increase infrastructure scalability
  • •Build new API integrations to support increasing data volume and complexity
  • •Collaborate with data scientists, MLOps engineers, product owners, and BI analysts to understand system architecture and business processes

Pay and Benefits

Perks:Remote WorkPaid LeaveAnnual Bonus

Key Requirements

  • •Bachelor’s degree (or equivalent experience) in Computer Science, Engineering, Mathematics, or a related technical field
  • •3+ years of experience in data engineering, data platforms, BI, or a related domain
  • •Experience implementing data-centric applications such as data warehouses, operational data stores, and data integration projects
  • •Experience with large-scale production relational and NoSQL databases and data modelling
  • •Proficiency in SQL and experience with Apache Airflow and Apache Spark
Experience:3+ years
Education:Bachelor's
Skills:Data qualityData accuracyProcess improvementCross-functional communication
Languages:English
Tech Stack:SQLPythonApache AirflowApache SparkAWSAmazon S3Amazon AthenaAmazon EC2Amazon RedshiftAmazon EMRAmazon EKSAmazon RDSAWS LambdaETLBatch ETLNear-real-time pipelinesData pipelinesData warehousesOperational data storesData integration

Company Brief

Sporty Group
Operates an online retail platform offering sports apparel, equipment, and accessories across multiple sports categories, targeting consumers and amateur athletes with a range of brands and direct-to-consumer products.
Industry: E-commerce
Website