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(Senior) Data Engineer

Sport Alliance GmbH

Full-time
Poland
engineer
python
aws
architecture
azure
Apply for this position

At Sport Alliance, we empower the fitness world with intelligent data solutions, and we're looking for a talented Data Engineer to be a crucial part of this journey. You'll contribute to a high-impact, visible role with direct influence on our product roadmap and strategic objectives. We offer a collaborative, innovative culture where your ideas are valued and continuous learning is encouraged.

Your position in our team

  • Design, develop, and optimize cloud-native data pipelines and ETL/ELT processes using AWS services and own the underlying infrastructure

  • Be responsible for data models that support various analytical and operational needs for thousands of gyms with more than 10 mio members

  • Collaborate closely within the Data Team, and other engineering teams to translate complex business challenges into innovative, data-driven solutions

  • Driven data excellence and integrity across all stages of the data lifecycle by enforcing data governance best practices ensuring data reliability and trustworthiness

  • Continuously learn, evaluate, integrate or further develop new cutting-edge data technologies (e.g. streaming databases, data mesh) to maintain our competitive edge

Your profile

  • 3+ years of hands-on experience in data engineering, with focus on Data Warehousing

  • A deep understanding of data architecture principles

  • Proficiency in Python and its relevant data engineering with extensive experience in working with cloud platforms (e.g. AWS, Azure, GC)

  • Solid command of both relational (e.g. Postgres) and non-relational (e. g. MongoDB, Dynamo DB) database systems

  • Proven analytical and problem-solving skills with a proven ability to debug complex data issues and implement robust solutions

  • Outstanding written and verbal communication skills in English

  • Familiarity with common data services like e.g.  DBT, Redshift Spark, EMR

Your benefits with us

  • Benefits package – private medical care and a sports card to support your health and well-being

  • Flexible working hours – manage your schedule and enjoy a real work-life balance

  • Flexible work model – work fully remotely or combine it with on-site collaboration at our modern office in Warsaw

  • Flexible employment options – choose the type of contract that best suits your needs

  • Access to Udemy Business – grow your skills with thousands of high-quality online courses

  • Unique experience in the Fitness and SaaS industry – join a market-leading company in a dynamic, fast-growing field

  • International team – collaborate with talented colleagues from around the world in a diverse and inclusive environment

  • Unforgettable company events – take part in engaging team-building activities and memorable celebrations

  • No dress code – express your personal style and feel comfortable at work

  • Dog-friendly office – bring your furry friends to our pet-friendly Warsaw workspace

Apply for this position
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About the job

Full-time
Poland
Posted 2 weeks ago
engineer
python
aws
architecture
azure

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(Senior) Data Engineer

Sport Alliance GmbH

At Sport Alliance, we empower the fitness world with intelligent data solutions, and we're looking for a talented Data Engineer to be a crucial part of this journey. You'll contribute to a high-impact, visible role with direct influence on our product roadmap and strategic objectives. We offer a collaborative, innovative culture where your ideas are valued and continuous learning is encouraged.

Your position in our team

  • Design, develop, and optimize cloud-native data pipelines and ETL/ELT processes using AWS services and own the underlying infrastructure

  • Be responsible for data models that support various analytical and operational needs for thousands of gyms with more than 10 mio members

  • Collaborate closely within the Data Team, and other engineering teams to translate complex business challenges into innovative, data-driven solutions

  • Driven data excellence and integrity across all stages of the data lifecycle by enforcing data governance best practices ensuring data reliability and trustworthiness

  • Continuously learn, evaluate, integrate or further develop new cutting-edge data technologies (e.g. streaming databases, data mesh) to maintain our competitive edge

Your profile

  • 3+ years of hands-on experience in data engineering, with focus on Data Warehousing

  • A deep understanding of data architecture principles

  • Proficiency in Python and its relevant data engineering with extensive experience in working with cloud platforms (e.g. AWS, Azure, GC)

  • Solid command of both relational (e.g. Postgres) and non-relational (e. g. MongoDB, Dynamo DB) database systems

  • Proven analytical and problem-solving skills with a proven ability to debug complex data issues and implement robust solutions

  • Outstanding written and verbal communication skills in English

  • Familiarity with common data services like e.g.  DBT, Redshift Spark, EMR

Your benefits with us

  • Benefits package – private medical care and a sports card to support your health and well-being

  • Flexible working hours – manage your schedule and enjoy a real work-life balance

  • Flexible work model – work fully remotely or combine it with on-site collaboration at our modern office in Warsaw

  • Flexible employment options – choose the type of contract that best suits your needs

  • Access to Udemy Business – grow your skills with thousands of high-quality online courses

  • Unique experience in the Fitness and SaaS industry – join a market-leading company in a dynamic, fast-growing field

  • International team – collaborate with talented colleagues from around the world in a diverse and inclusive environment

  • Unforgettable company events – take part in engaging team-building activities and memorable celebrations

  • No dress code – express your personal style and feel comfortable at work

  • Dog-friendly office – bring your furry friends to our pet-friendly Warsaw workspace

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