Senior Data Engineer

trg.

Greater London

Hybrid

GBP 60,000 - 100,000

Full time

3 days ago
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Job summary

trg. in London is seeking a Senior Data Engineer to help scale its Data Services as part of a growing B2B SaaS PropTech platform. You will join the product team and work with data to empower mission critical features used by major UK clients.

You will bring in new data sets, improve existing ones, and collaborate with Product, Analytics, Security and Software teams to translate complex data into usable APIs and reliable data products.

Qualifications

  • Solid experience in Python, SQL and PySpark.
  • Experience with Databricks and IaC/CI/CD exposure.
  • Collaborative mindset building data products that serve stakeholders and customers well.

Responsibilities

  • Ingest new data sets, improve existing ones, and connect internal data stores for API use.
  • Collaborate closely with Product, Analytics, Security and Software, explaining technical concepts to non-technical audiences.

Skills

Python
SQL
PySpark

Tools

Databricks
AWS
Terraform
CI/CD

Job description

Tech: Python, AWS, Terraform, Databricks or Snowflake, SQL

Hybrid: 3 days per week in London

Salary: Up to £100,000

We're working with a market-leading PropTech who are using a recent major investment as a B2B SaaS business to scale heavily. They're looking for a Senior Data Engineer to join their product team and help deliver on their Data Services ambitions.

That data powers mission-critical products used by some of the UK's largest companies and gives the business a genuine data moat that is extremely difficult for competitors to replicate.

What you'll do:
  • Bring in new data sets, improve existing ones, and connect internal data stores for API use, with real impact on the customers who rely on this data every day
  • Collaborate closely with Product, Analytics, Security and Software, explaining technical concepts to non-technical audiences
What they need:
  • Solid experience in Python, SQL and PySpark
  • Experience with Databricks, plus some exposure to infrastructure as code and CI/CD
  • A collaborative mindset and a passion for building data products that serve stakeholders and customers well
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