Senior Data Engineer
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Before you apply
LocationUnited Kingdom
Work moderemote
Typefull-time
SenioritySenior
Experience8+ yrs
DepartmentProduct & Technology
Company size51–200 people
PostedNov 3, 2026 · 4d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
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
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)
Skills
SQL
Python
Snowflake
Databricks
BigQuery
Synapse
Airflow
dbt
Dagster
Terraform
Azure
Benefits
Unlimited PTO
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
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Design and build our data platform from scratch, from ingestion to modelling to consumption
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Take part in architectural decisions and help choose the right technologies (Snowflake, Databricks, or something you propose)
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Research, evaluate, and implement a single source of truth across our data landscape
Data Integration
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Connect and consolidate data from multiple IMS databases and other heterogeneous sources
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Design and build reliable, scalable ELT/ETL pipelines
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Develop data models that serve both product and analytical needs
Collaboration
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Work closely with Product, Engineering, Domain Expertise, and other departments to turn business needs into solid data solutions
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Raise the quality bar through code reviews, documentation, and knowledge sharing
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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
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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