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Senior Data Engineer - Europe
- Pay
- Pay not listed
- Work setting
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- Employment
Permanent · Full-time — employment source
Job Type: Permanent Build a brilliant future with Hiscox
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingLead design and implementation of complex data pipelines on Databricks
Own platform technical direction, including compute, governance and Delta Lake standards
Drive infrastructure cost management (FinOps) and optimisation
Act as senior escalation point for platform incidents
Lead day-to-day work of the engineering pod and mentor junior and mid-level engineers
From the employer’s posting
Lead the design and implementation of complex data pipelines and platform architecture on Databricks
Own the technical direction of the platform, including compute strategy, governance, and Delta Lake standards
Drive infrastructure cost management (FinOps), identifying and delivering optimisation opportunities
Act as a senior escalation point for platform incidents, ensuring timely resolution and follow-up
Lead the day-to-day work of the engineering pod, including allocation, sequencing, and delivery quality
What you’ll bring
All qualificationsCore experience
- Hands-on experience with Databricks is a must, including Spark/PySpark, Delta Lake, job orchestration, cluster configuration, and performance tuning;
- Ability to translate business requirements into scalable technical solutions;
- Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, or a related field;
- Experience with Unity Catalog, data governance, and access management within Databricks;
- Strong communication skills, able to explain technical decisions to non-technical stakeholders;
- Deep understanding of data modelling (star schema) and ETL processes;
Qualification wording
Hands-on experience with Databricks is a must, including Spark/PySpark, Delta Lake, job orchestration, cluster configuration, and performance tuning;
Ability to translate business requirements into scalable technical solutions;
Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, or a related field;
Experience with Unity Catalog, data governance, and access management within Databricks;
Strong communication skills, able to explain technical decisions to non-technical stakeholders;
Deep understanding of data modelling (star schema) and ETL processes;
Education & alternatives
Education & Languages - Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, or a related field; - Fluent in English, both spoken and written.
About Hiscox
Our mission is to ensure trusted, consistent, and accessible data that empowers smarter decision-making and supports the evolution of our enterprise Hiscox Data Strategy.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 17, 202618 days ago
- Recorded sightings
- 29
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Hiscox is hiring
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- Databricks
- Delta Lake
- Spark
- PySpark
Where the posting names them
- Deep understanding of data modelling (star schema) and ETL processes; - Advanced experience with SQL and Python; strong knowledge of Azure Data Services, including Azure Data Factory; - Experience with CI/CD, version control, and deployment automation for data pipelines (e.g., Azure DevOps, Git);
The Role The Senior Data Engineer for the Europe Data Team leads the design and evolution of our European data platform, which uses Microsoft Azure and Databricks. This role drives technical decisions aligned with the Hiscox Data Strategy, ensuring our data solutions are scalable, robust, efficient, and cost-effective. Working with Data Analysts, Data Management, and business stakeholders across Europe, the Senior Data Engineer owns end-to-end engineering delivery for key platform components, sets the engineering standards the team works to, and leads the day-to-day work of a small engineering pod, while appraisal and progression remain with the Data Engineering Manager.
- Advanced experience with SQL and Python; strong knowledge of Azure Data Services, including Azure Data Factory; - Experience with CI/CD, version control, and deployment automation for data pipelines (e.g., Azure DevOps, Git); - Experience with platform monitoring, observability, and cloud cost management (FinOps).
Working with Data Analysts, Data Management, and business stakeholders across Europe, the Senior Data Engineer owns end-to-end engineering delivery for key platform components, sets the engineering standards the team works to, and leads the day-to-day work of a small engineering pod, while appraisal and progression remain with the Data Engineering Manager. With ongoing data transformation in Europe, including the migration to Databricks and the decommissioning of legacy platforms, this position offers the chance to shape the technical direction of the platform while supporting daily operations and existing commitments. Key Responsibilities
Platform Design & Engineering - Lead the design and implementation of complex data pipelines and platform architecture on Databricks; - Own the technical direction of the platform, including compute strategy, governance, and Delta Lake standards;
Technical Skills - Hands-on experience with Databricks is a must, including Spark/PySpark, Delta Lake, job orchestration, cluster configuration, and performance tuning; - Experience with Unity Catalog, data governance, and access management within Databricks;
- Hands-on experience with Databricks is a must, including Spark/PySpark, Delta Lake, job orchestration, cluster configuration, and performance tuning; - Experience with Unity Catalog, data governance, and access management within Databricks; - Deep understanding of data modelling (star schema) and ETL processes;
- Lead the design and implementation of complex data pipelines and platform architecture on Databricks; - Own the technical direction of the platform, including compute strategy, governance, and Delta Lake standards; - Ensure the scalability, performance, and reliability of the Europe Data Platform;
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About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Job Type:
PermanentBuild a brilliant future with Hiscox
About Hiscox
Hiscox is an international insurer specialising in luxury goods & property markets, as well as high-end professional insurance. As experts in risk, we empower individuals and businesses to achieve their ambitions. With offices in 9 European countries, we boast a highly international workforce, fostering a culture of inclusion, collaboration, and personal and professional growth.
About the Hiscox Data Team
The Europe Data Team is a cross-country, multidisciplinary group responsible for driving and enabling Hiscox Europe’s data capabilities. We combine expertise in Data Engineering, Data Analysis, and Data Management to deliver high-quality data pipelines, insightful reporting, and strong governance frameworks, working closely with business teams across Europe.
Our mission is to ensure trusted, consistent, and accessible data that empowers smarter decision-making and supports the evolution of our enterprise Hiscox Data Strategy.
The Role
The Senior Data Engineer for the Europe Data Team leads the design and evolution of our European data platform, which uses Microsoft Azure and Databricks. This role drives technical decisions aligned with the Hiscox Data Strategy, ensuring our data solutions are scalable, robust, efficient, and cost-effective.
Working with Data Analysts, Data Management, and business stakeholders across Europe, the Senior Data Engineer owns end-to-end engineering delivery for key platform components, sets the engineering standards the team works to, and leads the day-to-day work of a small engineering pod, while appraisal and progression remain with the Data Engineering Manager.
With ongoing data transformation in Europe, including the migration to Databricks and the decommissioning of legacy platforms, this position offers the chance to shape the technical direction of the platform while supporting daily operations and existing commitments.
Key Responsibilities
Platform Design & Engineering
- Lead the design and implementation of complex data pipelines and platform architecture on Databricks;
- Own the technical direction of the platform, including compute strategy, governance, and Delta Lake standards;
- Ensure the scalability, performance, and reliability of the Europe Data Platform;
- Lead data modelling and optimise data structures to ensure scalability, performance, and maintainability.
Platform Operations & Cost
- Own deployment execution, CI/CD, and observability, ensuring reliability and consistency of release processes;
- Drive infrastructure cost management (FinOps), identifying and delivering optimisation opportunities;
- Lead troubleshooting and resolution of complex data and platform issues;
- Act as a senior escalation point for platform incidents, ensuring timely resolution and follow-up.
Technical Leadership
- Define and enforce best practices in data engineering (standards, patterns, governance);
- Lead the day-to-day work of the engineering pod, including allocation, sequencing, and delivery quality;
- Mentor and support the development of junior and mid-level engineers through technical guidance and ongoing feedback;
- Contribute to hiring, onboarding, and the continuous improvement of engineering practices.
Collaboration & Solution Design
- Collaborate with senior stakeholders to understand and translate requirements into technical solutions;
- Partner with Data Analysts and Data Management to deliver end-to-end data solutions;
- Work with IT, Architecture, and Group Data teams on platform integration;
- Evaluate and integrate new technologies and improvements, including automation and AI-supported engineering practices.
Skills
Technical Skills
- Hands-on experience with Databricks is a must, including Spark/PySpark, Delta Lake, job orchestration, cluster configuration, and performance tuning;
- Experience with Unity Catalog, data governance, and access management within Databricks;
- Deep understanding of data modelling (star schema) and ETL processes;
- Advanced experience with SQL and Python; strong knowledge of Azure Data Services, including Azure Data Factory;
- Experience with CI/CD, version control, and deployment automation for data pipelines (e.g., Azure DevOps, Git);
- Experience with platform monitoring, observability, and cloud cost management (FinOps).
Functional Skills
- Ability to translate business requirements into scalable technical solutions;
- Strong communication skills, able to explain technical decisions to non-technical stakeholders;
- Experience leading the day-to-day work of a small engineering team;
- Experience in Data Engineering or Data & Analytics roles (5+ years);
- Experience leading platform migrations, ideally within the insurance industry.
Education & Languages
- Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, or a related field;
- Fluent in English, both spoken and written.
Person Specification
- Comfortable operating in complex, cross-functional environments with evolving priorities;
- Takes ownership and accountability for technical outcomes end to end;
- Able to communicate ideas clearly to both technical and non-technical audiences;
- Pragmatic in balancing technical excellence with delivery commitments;
- Motivated by developing others and raising the technical bar of the team;
- Resilient, adaptable, and committed to continuous learning and improvement.
Work with amazing people and be part of a unique culture
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Lisbon
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