Time since we first saw it
Day 18
Similar jobs usually come down between day 6 and day 54.
From 10,764 similar postings that came down. Coming down is not always a hire.
Data Engineer - Europe
- Pay
- Pay not listed
- Work setting
- Not stated
- 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 postingDesign and develop Databricks data pipelines to ingest and transform data
Integrate multiple data sources into a unified data platform
Deliver new data requests, bug fixes, and improvements to existing processes
Monitor and troubleshoot the daily run of production batches
Contribute to migrating legacy processes to Databricks
From the employer’s posting
Design and develop data pipelines on Databricks to ingest, transform, and deliver data;
Integrate multiple data sources into a unified data platform;
Deliver new data requests, bug fixes, and improvements to existing processes within agreed priorities;
Support the daily run of production batches, monitoring and troubleshooting issues to ensure timely resolution;
Contribute to the migration of legacy processes to Databricks;
What you’ll bring
All qualificationsCore experience
- Hands-on experience with Databricks is a must, including Spark/PySpark, Delta Lake, and job orchestration;
- Ability to understand business needs and translate them into technical requirements;
- Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, or a related field;
- Good understanding of data modelling (star schema) and ETL/ELT processes;
- Strong communication skills, able to work effectively with analysts and business teams;
- Experience with Python for data engineering;
Qualification wording
Hands-on experience with Databricks is a must, including Spark/PySpark, Delta Lake, and job orchestration;
Ability to understand business needs and translate them into technical requirements;
Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, or a related field;
Good understanding of data modelling (star schema) and ETL/ELT processes;
Strong communication skills, able to work effectively with analysts and business teams;
Experience with Python for data engineering;
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
- Advanced experience with SQL for querying, transformation, and troubleshooting; - Experience with Python for data engineering; - Experience with Azure Data Factory or equivalent orchestration tooling;
- Good understanding of data modelling (star schema) and ETL/ELT processes; - Advanced experience with SQL for querying, transformation, and troubleshooting; - Experience with Python for data engineering;
The Role The Data Engineer for the Europe Data Team designs, builds, and maintains the data pipelines and platform components that power our European analytics platform, which uses Microsoft Azure and Databricks. Working with Data Analysts and the Data Product Manager, the Mid Data Engineer turns business requirements into reliable, well-tested data solutions, delivering new data requests, bug fixes, and improvements, and supporting the daily run of our production data processes.
- Contribute to data modelling and the optimisation of data structures; - Support platform evolution aligned with cloud architecture (e.g., Azure / Databricks). Delivery & Business Support
- Experience with Python for data engineering; - Experience with Azure Data Factory or equivalent orchestration tooling; - Familiarity with version control and deployment practices for data pipelines (e.g., Git, Azure DevOps).
- Experience with Azure Data Factory or equivalent orchestration tooling; - Familiarity with version control and deployment practices for data pipelines (e.g., Git, Azure DevOps). Functional Skills
Pipeline Development & Integration - Design and develop data pipelines on Databricks to ingest, transform, and deliver data; - Integrate multiple data sources into a unified data platform;
- Build and maintain business-facing pipelines and data products, from requirement through to production; - Contribute to the migration of legacy processes to Databricks; - Engage with business stakeholders where needed to clarify requirements.
Technical Skills - Hands-on experience with Databricks is a must, including Spark/PySpark, Delta Lake, and job orchestration; - Good understanding of data modelling (star schema) and ETL/ELT processes;
Your next step
Complete your application on hiscox.wd3.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
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 Data Engineer for the Europe Data Team designs, builds, and maintains the data pipelines and platform components that power our European analytics platform, which uses Microsoft Azure and Databricks.
Working with Data Analysts and the Data Product Manager, the Mid Data Engineer turns business requirements into reliable, well-tested data solutions, delivering new data requests, bug fixes, and improvements, and supporting the daily run of our production data processes.
With ongoing data transformation in Europe, this position offers strong exposure to a modern cloud data stack and the opportunity to grow technical depth and ownership, while supporting daily operations and existing commitments.
Key Responsibilities
Pipeline Development & Integration
- Design and develop data pipelines on Databricks to ingest, transform, and deliver data;
- Integrate multiple data sources into a unified data platform;
- Contribute to data modelling and the optimisation of data structures;
- Support platform evolution aligned with cloud architecture (e.g., Azure / Databricks).
Delivery & Business Support
- Deliver new data requests, bug fixes, and improvements to existing processes within agreed priorities;
- Build and maintain business-facing pipelines and data products, from requirement through to production;
- Contribute to the migration of legacy processes to Databricks;
- Engage with business stakeholders where needed to clarify requirements.
Quality & Operations
- Ensure data quality, consistency, and performance of pipelines;
- Support the daily run of production batches, monitoring and troubleshooting issues to ensure timely resolution;
- Identify improvements in pipeline performance, cost, and reliability;
- Execute data deployments following defined processes, ensuring accuracy and smooth releases.
Collaboration & Solution Design
- Collaborate with Data Analysts and the Data Product Manager to deliver data solutions;
- Participate in peer code reviews and follow the engineering standards defined by the team;
- Document technical solutions and contribute to shared team knowledge;
- Contribute to the continuous improvement of data processes, standards, and platform evolution.
Skills
Technical Skills
- Hands-on experience with Databricks is a must, including Spark/PySpark, Delta Lake, and job orchestration;
- Good understanding of data modelling (star schema) and ETL/ELT processes;
- Advanced experience with SQL for querying, transformation, and troubleshooting;
- Experience with Python for data engineering;
- Experience with Azure Data Factory or equivalent orchestration tooling;
- Familiarity with version control and deployment practices for data pipelines (e.g., Git, Azure DevOps).
Functional Skills
- Ability to understand business needs and translate them into technical requirements;
- Strong communication skills, able to work effectively with analysts and business teams;
- Experience in Data Engineering or Data & Analytics roles (3+ years);
- Experience in analytics and reporting, 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
- Self-motivated and able to work independently while contributing effectively to a team;
- Positive attitude with a strong interest in creating value from data;
- Able to communicate ideas clearly to both technical and non-technical audiences;
- Skilled at translating business needs into practical technical solutions;
- Comfortable working in environments with ambiguity and change;
- Flexible, adaptable, and resilient.
Provide your feedback on BizChat
Work with amazing people and be part of a unique culture
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Lisbon
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.