Senior Data Engineer
Cenosco
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What data roles keep asking for: Python (38%), SQL (33%), AWS (30%), Machine learning (19%), Spark (15%), Databricks (14%), Stakeholder management (13%), Azure (13%) — counted across their open postings here.
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Cenosco has 4 open roles listed here.
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Interviews for data roles keep coming back to Python, SQL, AWS, Machine learning. Practise those questions before you sit with Cenosco.
Questions you are likely to be asked
- Why do you want to join Cenosco?
- What is your experience with ETL? Tell me one thing you learned the hard way.
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
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Practise the Senior Data Engineer at Cenosco interview free →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 Find more English Speaking Jobs in United Kingdom on Arbeitnow
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Listed on arbeitnow · posted 2026-11-03. ApplySarthi collects openings and links to application pages; the role is advertised by Cenosco, not by us.