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Senior Data Engineer

Summary

Senior Data Engineer builds and maintains scalable Zero-ETL pipelines, optimizes Amazon Redshift data models, and orchestrates workflows with Apache Airflow for reliable analytics.

About the role

We are looking for a Senior Data Engineer to design, build and maintain our data analytics platform. You will be responsible for developing scalable data pipelines with Zero-ETL approach, ensuring high-quality and reliable data and enabling analytics across the organisation. You will work closely with Data Analysts and business stakeholders to deliver robust data solutions while driving improvements in architecture, performance and operational excellence.

What you'll be doing

  • Design, develop and maintain scalable Zero-ETL pipeline.
  • Build, optimise and maintain data models in Amazon Redshift.
  • Develop and manage workflow orchestration using Apache Airflow.
  • Integrate data from multiple internal and external data sources.
  • Ensure data quality, reliability, consistency and availability across the platform.
  • Monitor, troubleshoot and resolve data platform issues from identification through root cause analysis and resolution.
  • Optimise SQL queries, data processing jobs and warehouse performance.
  • Design data models that support reporting and analytical use cases.
  • Collaborate with Data Analysts to deliver reliable datasets for reporting and business intelligence.
  • Improve data architecture, automation, monitoring and engineering best practices.
  • Maintain documentation for pipelines, data models and platform architecture.
  • Participate in technical planning, architecture discussions and code reviews.

What you'll bring

  • 5+ years of experience as a Data Engineer.
  • Strong expertise in SQL and relational databases.
  • Hands-on experience with AWS data services, including Amazon Redshift and Amazon RDS.
  • Experience developing and maintaining Apache Airflow workflows.
  • Strong understanding of ETL design and implementation.
  • Experience designing scalable data warehouse solutions and data models.
  • Ability to independently investigate and resolve complex production issues.
  • Excellent communication and stakeholder management skills.
  • Proactive mindset with strong ownership and accountability.
  • Experience working in Agile software development environments.

What's in it for you

  • Sporty is a remote first company in pursuit of sustainability
  • A competitive salary + individual performance based bonuses every quarter
  • 28 days paid annual leave
  • Our core working hours are 10am-3pm in your local time zone with flexibility outside of this
  • Referral bonuses & flash bonuses
  • Top of the line equipment
  • Annual company retreats to provide great internal networking opportunities

If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.

What this application asks

greenhouse

First Name, Last Name, Email, Phone, Resume/CV

  • Preferred First Name optional
  • Where are you currently based? choose one
  • Do you have English proficiency? choose one
  • Do you have Portuguese proficiency? choose one
  • Do you have Spanish proficiency? choose one
  • What are your salary expectations?
  • Where did you hear about us? choose one
  • LinkedIn Profile
  • GDPR Acknowledgement choose one
  • We are committed to providing an inclusive and accessible hiring experience. Do you require any reasonable accommodations or additional support during the recruitment process or, if successful, to perform this role on-site, if required? choose any
  • Website/Portfolio
  • How many years of experience do you have in this field? choose any
  • Are you happy working with Sporty under a B2B or B2C arrangement? choose one

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