Mid-Level Data Engineer

Mid-Level Data Engineer (UK)

 Function: Data Engineering, Analytics & Science
Responsibility: Data Pipeline Development | Data Warehousing | Performance Data Analysis
Reports to: Lead Data Engineer
Location: Remote (UK-Based)

About Soar With Us

Founded by Olly Hudson and Joe Marston in 2019, Soar With Us is one of the fastest-growing advertising agencies for e-commerce brands in the UK, with a team of 40 A-Players. In 2024, we spent over £250m on Meta, Google, and TikTok ads profitably for our clients, including The Essence Vault, Art of Football, Bee Inspired, and more.

In 2025, we’re building a world-class data team to clean, organise, and analyse client ad performance data. By improving how we manage data, we’ll unlock smarter, faster decision-making that drives even better client results.

As a Mid-Level Data Engineer, you'll be crucial in helping architect, maintain, and optimise data pipelines, ensuring the information we rely on daily is clean, structured, and ready for analysis.

Main Responsibilities:

• Build and maintain data pipelines from advertising platforms (Meta, Google, TikTok) into our data warehouse.
  Support the design and development of scalable data infrastructure (Supabase, Firebase, AWS RDS/Redshift).
• Maintain and improve data schemas and models that support reporting and AI analysis.
• Collaborate closely with Growth and Creative teams to understand business needs and translate them into technical solutions.
• Assist with automating client reporting and performance analytics.
• Uphold data integrity, quality, and documentation standards.
• Proactively spot inefficiencies or blind spots in the data ecosystem and suggest improvements.
• Embed AI tools into workflows where possible to optimise performance and reporting.

Requirements

• 2+ years of experience in Data Engineering or Data Infrastructure roles.
• Solid experience working with ETL pipelines and SQL databases (PostgreSQL, Supabase, Firebase, or similar).
• Proficient in Python or TypeScript for data work.
• Understanding of e-commerce, marketing metrics, or advertising data is a bonus.
• Comfortable using AI tools like OpenAI or LangChain for data-driven tasks.
  Bonus: Experience with vector databases, no-code/low-code tools (n8n, Make, Zapier), or building AI/LLM pipelines.

Who You Are:

• You’re excited to build systems that make an immediate impact.
• You think about user experience, not just code.
• You thrive in a fast-moving environment where autonomy is encouraged.
• You love working alongside business operators, marketers, and creatives.

Why This Role?:

• Help shape a new data function from the ground up.
• Your work will directly empower a team of 40+ marketers.
• Work closely with a Lead Data Engineer and COO.
  Opportunity to grow into a Lead position as the data team scales.

Benefits

• Our incredible client base. We work with a wide range of companies, spanning multiple niches and continents. You will be working in collaboration with some of the fastest-growing and most established DTC e-commerce companies in the world.
• Building your skills. Our diverse service offering and client base ensure that no two days are the same - with opportunities to broaden your skillset at every turn. We’re committed to ensuring that all of our team are constantly developing and evolving toward their own personal goals and you would be no exception!
• Ongoing mentoring. You will get many hours of 1-on-1 coaching/mentorship with our senior management team, and learn to expertly advertise DTC brands which is an incredibly sought-after skill.
• Start-up sensibilities. You have the rare opportunity to work with a 3-year-old agency and have a huge impact on how we do things.
• Flexible, hybrid working. We’re a modern agency, with trust and respect for everyone who works here. As such, we offer the option to work from our vibrant Leeds office, from home, or a combination of both.
• Private health insurance, life insurance, and cash plan enrollment.
• Numerous internal social activities are arranged by our social sec at the end of each month. We also host larger social events at the end of each quarter!

Success in 6 months:

• Performance data pipelines are built and delivering clean, usable data.
  Automated weekly reporting is live and serving the Growth team.
• You’re independently maintaining parts of the infrastructure and assisting with enhancements.

Success in 12 months:

• The data warehouse is fully integrated into team workflows.
• You’re optimising and scaling pipelines for new data sources and business needs.
• You’re beginning to mentor junior analysts and engineers on best practices.