Professional Services Engineer

📋 Description

• Own the deployment: Architect and implement production-grade integrations and distributed data
• Modernise legacy data: Transform legacy ETL/ELT workflows into modern, autonomous data pipelines
• Build with AI, not just for it: Integrate AI APIs (OpenAI, Anthropic) and use AI code generation
• Deliver at pace: Take technical solutions from kickoff to production within an 8-12 week
• Move between altitudes: Alternate between deep technical problem-solving and strategic alignment

🎯 Requirements

• Demonstrable experience building production-grade software, with strong programming ability in
• Data engineering background with hands-on experience with ETL/ELT tools, gained as a Data Engineer
• Strong grasp of data architecture and data structures, with the ability to assess and redesign
• Comfortable wearing multiple hats, flexing across technical delivery, customer communication, and
• Track record of completing migration and deployment outcomes to a defined timeline, working

🎁 Benefits

• Company Equity
• 30 days holiday + bank holidays
• 5 days paid volunteering leave
• Access to mental health support