Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Data Engineer - REMOTE. You will play a crucial role in shaping the backbone of the data platform, ensuring security, reliability, and trust while managing vast volumes of data from workouts and health-related sources. Your expertise will directly impact product innovation, AI, and analytics, allowing our partner to continue redefining the training experience. By building and scaling data systems, you'll contribute to personalizing experiences and enhancing coaching. Your work will ensure that sensitive information is protected while maintaining compliance with an ever-evolving regulatory landscape. - Architect secure and scalable data systems that support growth and meet regulatory standards. - Build and optimize data models and pipelines across diverse sources: sensors, workouts, and health integrations. - Establish controls for access, encryption, anonymization, monitoring, and auditability. - Define and enforce best practices for managing sensitive data, including PHI and PII. - Collaborate with teams across various departments to translate needs into compliant solutions. - Conduct risk assessments and implement safeguards guided by NIST frameworks. - Support SOC 2 audits by documenting and demonstrating effective security controls. - Mentor engineers and scientists, setting high standards for secure data engineering. - Continuously evolve the platform, introducing tools and frameworks to balance innovation with regulatory compliance. Qualifications - 8+ years of experience in data engineering, or 6+ years with a Master’s degree (or equivalent). - Strong skills in SQL, Python, and distributed data processing (Spark, Databricks, or similar). - Experience building pipelines with DBT, Airflow, Fivetran, or related tools. - Background in data modeling and warehousing with systems like Snowflake, Databricks, or Redshift. - Hands-on experience working with regulated environments and sensitive data. - Familiarity with frameworks such as HIPAA, SOC 2, and NIST for security and compliance. - Skilled in access control design, audit logging, encryption, and governance. - Excellent communicator who can explain complex tradeoffs to both technical and non-technical audiences. - Known for technical leadership and mentoring, raising the bar for engineering quality. Benefits - Flexible work schedule with remote opportunities. - Collaborative work environment with cross-functional teams. - Opportunities for professional growth and development. - Inclusive culture that celebrates diversity and nurtures unique perspectives. - Support for accessible work arrangements and accommodations. - Innovative projects that leverage cutting-edge technology and data. - Participation in ongoing training and skill enhancement programs.

Role Description The Systems and Data Engineer is responsible for the hands-on development, maintenance, and evolution of the Group’s internal integration infrastructure, home-built micro-services, and AI tooling. The role sits at the intersection of the Systems and Data teams, playing a critical part in ensuring data flows reliably between platforms and that the business can move quickly, confidently, and with the support of modern AI tooling. This is a builder role — the person in this position will be writing code, shipping integrations, and directly contributing to the Group’s AI adoption strategy. - The Group is scaling rapidly, with growing demand for integrations, automation, and AI-native workflows across every business function. - Our home-built Enterprise Service Bus (ESB) is a strategic asset that requires ongoing development and maintenance as new systems are onboarded through organic growth and M&A activity. - AI tooling — including custom MCP connectors and internal agents — is live, evolving infrastructure that needs hands-on contributors now. - Reliable, high-quality data flow between systems is foundational to every commercial and operational function across the Group. - This role will grow with the team — there is a clear path from Junior to Mid to Senior as the platform matures. Qualifications - Proficiency in Python — able to write clean, maintainable, production-grade code independently. - Practical experience building or consuming REST APIs and integration patterns (webhooks, polling, event-driven). - Familiarity with Salesforce or similar CRM platforms at an integration/API level. - Experience with or strong interest in prompt engineering and working with LLMs (Claude, GPT, or similar). - Hands-on experience with Claude and/or Cursor as development tools — comfort using AI to accelerate engineering work. - Understanding of relational databases and SQL. - Good instincts around error handling, logging, and building for reliability. Requirements - Experience building MCP servers or working with the Model Context Protocol. - Exposure to ESB patterns, message queuing, or event-driven architectures. - Familiarity with micro-service architecture and containerisation (Docker). - Experience with source control best practices (Git, branching strategies, PR workflows). - Any exposure to Snowflake, BigQuery, or similar data warehouse tooling. Behaviours - Builder mentality — not satisfied with “good enough”, always looking to improve or extend what exists. - Curious and self-directed — comfortable picking up new tools and technologies without needing hand-holding. - Detail-oriented — takes pride in clean, well-documented code and reliable pipelines. - Collaborative — works well across teams and communicates clearly about blockers, progress, and trade-offs. - High agency — takes ownership of problems and follows them through without needing to be chased. Benefits - Generous holiday allowance. - Flexible hours. - Buying and selling holiday. - Enhanced maternity pay. - Free breakfast, fruit, and drinks. - Regular socials and much more.

• Lead the Architectural Redesign: Analyze and re-architect the existing highly-normalized PostgreSQL database, driving the transition to a modern, high-performance analytical data model. • Optimize for Performance: Redesign schemas, balancing normalization with analytical read efficiency. • Strategically apply denormalization, materialized views, and dynamic queries to support high-speed data access. • Scale Data Delivery: Introduce advanced PostgreSQL strategies including robust indexing, partitioning, caching, and replication to ensure high-throughput and low-latency access for client-facing APIs and internal tools. • Data Pipeline Excellence: Design, implement, and maintain scalable data pipelines and ETL/ELT frameworks across distributed systems to ensure data reliability and freshness. • Technical Leadership: Act as a subject matter expert, guiding the engineering team on best practices for data modeling, query optimization, and architectural decisions.

• You will develop and maintain data models and structures that enable efficient querying and analysis; • You will design, develop, and maintain data pipelines to transform and process large volumes of data from various sources, while adding business context and semantics to the data; • You will implement automated data quality checks to guarantee data quality and consistency across the whole data life cycle. • Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life wellness.