ApplySarthiSenior Data Engineer
Stack Infrastructure Emea
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This role on the market
7,564 open data roles across 692 companies are on ApplySarthi right now, most of them in Bengaluru (423), Hyderabad (299), Mumbai (159).
- Technical Infrastructure Program Manager, Data Center Planning DeliveryAmazon
- Senior Data EngineerGartner · delhi ncr
- Sr Lead Software Engineer - Java/Python, Data EngineeringJPMorgan · hyderabad
- Security Consultant-Data SecurityIBM
- Associate, Customer Data ManagementCarrier
What data roles keep asking for: Python (29%), AWS (29%), SQL (28%), Machine learning (16%), Spark (12%) — counted across their open postings here.
Data Engineer jobs in the United Kingdom · Data Engineer jobs in London · Remote Data Engineer jobs · Azure jobs · CI/CD jobs · Databricks jobs · Power BI jobs
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for data roles keep coming back to Python, AWS, SQL, Machine learning. Practise those questions before you sit with Stack Infrastructure Emea.
Questions you are likely to be asked
- Why do you want to join Stack Infrastructure Emea?
- What is your experience with Databricks? Tell me one thing you learned the hard way.
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
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Practise the Senior Data Engineer at Stack Infrastructure Emea interview free →Role Summary We are looking for a Senior Data Engineer to build and manage STACK’s data platform in Databricks. The role will develop reliable data pipelines from Finance, Delivery, Operations, HR and PMO systems, maintain high data quality and ensure that information is secure, governed and available for business use. The successful candidate will work closely with stakeholders to improve reporting, resolve data issues and support better decision-making across the organisation. Key Responsibilities: · Design, build and maintain data pipelines from APIs, databases, SaaS applications, files and spreadsheets into Databricks. · Develop scalable data models and Delta Lake architecture for reporting, analytics and future AI use cases. · Manage Databricks Workflows, Lakeflow or Delta Live Tables, SQL Warehouses and related processing jobs. · Administer Databricks workspaces, Unity Catalog, permissions, service principals. · Support development, test and production environments, including deployment, monitoring, incident resolution and recovery. · Monitor platform performance, usage and costs, and implement appropriate security and operational controls. · Implement data quality checks covering completeness, accuracy, timeliness, consistency, duplicates and reconciliation with source systems. · Ensure dashboards use governed, reliable and well-documented data. · Establish data ownership, common definitions, lineage, access policies and governance standards with business functions. · Build monitoring and reporting to identify pipeline failures and data quality issues. · Integrate governed Databricks data with Power BI and other approved analytical tools. · Work with Finance, Delivery, Operations, HR and PMO to translate requirements into sustainable data solutions. · Document data pipelines, controls, dependencies and operating procedures. · Coordinate external partners where specialist support is required. Qualifications: · Significant experience as a Data Engineer, including ownership of production data pipelines. · Strong hands-on experience with Databricks, Delta Lake, Python, SQL and PySpark. · Experience integrating data from APIs, business applications, databases and files. · Experience with Unity Catalog, access management, data governance and data quality controls. · Experience administering Databricks workspaces, compute resources and SQL Warehouses. · Experience with Azure data services, Power BI, Git and CI/CD practices. · Understanding of environment management, monitoring, troubleshooting and cost control. · Ability to work directly with non-technical stakeholders and explain data issues clearly. · Strong documentation, prioritisation and problem-solving skills. Certifications (Preferred) · Databricks Certified Data Engineer Professional or Databricks Certified Platform Administrator (if available). Find more English Speaking Jobs in United Kingdom on Arbeitnow
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Listed on arbeitnow · posted 2026-09-30. ApplySarthi collects openings and links to application pages; the role is advertised by Stack Infrastructure Emea, not by us.