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Cenosco

Senior Data Engineer

Cenosco United Kingdom

Software Development · 51-200 employees

4 d ago
Remote data-engineer Principal (10+ yrs) Full-time United Kingdom
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About the role

You will design and build a new data platform from scratch, including ingestion, modelling, and consumption pipelines. You will also collaborate with cross-functional teams to establish architectural standards and ensure data quality across the organization.

What they look for

Data Engineering SQL Python ELT/ETL Pipelines Data Modelling Snowflake Databricks Cloud Data Platforms Data Integration Architecture Design Airflow dbt Dagster Terraform CI/CD Data Governance

Requirements

The role requires 8+ years of professional data engineering experience with strong proficiency in SQL, Python, and modern cloud data platforms. Candidates must have a proven track record in building scalable ELT/ETL pipelines and influencing architectural decisions in a SaaS environment.

Benefits

Flexible working arrangements Competitive compensation Top-notch equipment Continuous learning opportunities Team activities

Full description

About the Role

At Cenosco, we build Asset Integrity Management Software trusted by global leaders in Oil & Gas, Chemicals, Energy and beyond. We are building a new data platform from the ground up, and we need a Senior Data Engineer to shape it: the architecture, the tooling, and the single source of truth our products and teams will rely on.

You will join the Data Engineering team, make real architectural decisions, and bring a pioneering mindset. No tools are set in stone, so we expect you to propose what works best and back it with reasoning.

What You'll Do

Platform & Architecture

  • Design and build our data platform from scratch, from ingestion to modelling to consumption
  • Take part in architectural decisions and help choose the right technologies (Snowflake, Databricks, or something you propose)
  • Research, evaluate, and implement a single source of truth across our data landscape

Data Integration

  • Connect and consolidate data from multiple IMS databases and other heterogeneous sources
  • Design and build reliable, scalable ELT/ETL pipelines
  • Develop data models that serve both product and analytical needs

Collaboration

  • Work closely with Product, Engineering, Domain Expertise, and other departments to turn business needs into solid data solutions
  • Raise the quality bar through code reviews, documentation, and knowledge sharing
  • Help shape engineering practices and standards as the team grows

What You'll Need

  • 8+ years of professional experience in Data Engineering
  • Professional experience in a SaaS or Data-as-a-Service environment
  • Solid SQL and Python
  • Hands-on experience designing and building ELT/ETL pipelines
  • Strong data modelling skills (dimensional and/or lakehouse)
  • Production experience with at least one modern cloud data platform (Snowflake or Databricks ideal; BigQuery or Synapse also welcome)
  • Experience integrating data from multiple heterogeneous sources
  • Experience owning or influencing architectural and tooling decisions, and the ability to explain the trade-offs
  • Comfortable building without an existing backlog, structure, or playbook
  • Fluent English and strong communication skills

Bonus Points For

  • Experience with orchestration and transformation tools (Airflow, dbt, Dagster)
  • Infrastructure as code and CI/CD (Terraform, Git-based workflows)
  • Experience with data governance, data quality, or master data management
  • Experience with Azure (or another major cloud)

Working Location

  • UK - Remote

Why You'll Love Working with Us

  • Build a data platform from scratch, with real influence on direction and tooling
  • Work on software used in safety-critical industries - your work genuinely matters
  • Freedom to propose and pioneer rather than inherit someone else's decisions
  • Join a small, engaged team where your voice carries weight
  • Flexible working arrangements that fit both you and the role
  • Competitive compensation with meaningful additional perks and top-notch equipment
  • Real investment in your growth - continuous learning is part of how we work
  • Team activities chosen by the team, not the marketing department

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