Howden Re Logo

Howden Re

Lead Data Engineer

Posted 2 Days Ago
Be an Early Applicant
In-Office
London, Greater London, England, GBR
Senior level
In-Office
London, Greater London, England, GBR
Senior level
Lead the design and delivery of scalable, metadata-driven data engineering solutions using Databricks and Azure services. Develop ingestion frameworks, orchestration processes, ETL pipelines, and CI/CD practices while improving performance, reliability, governance, and security. Collaborate with stakeholders, data scientists, and analysts to translate business needs into effective solutions. Lead technical design discussions, make architectural decisions, manage multiple deliverables, and mentor junior engineers.
The summary above was generated by AI
Who are we?

Howden is a global insurance group with employee ownership at its heart. Together, we have pushed the boundaries of insurance. We are united by a shared passion and no-limits mindset, and our strength lies in our ability to collaborate as a powerful international team comprised of 24,000 employees spanning over 56 countries.

People join Howden for many different reasons, but they stay for the same one: our culture. It’s what sets us apart, and the reason our employees have been turning down headhunters for years. Whatever your priorities – work / life balance, career progression, sustainability, volunteering – you’ll find like-minded people driving change at Howden.

Job Description 

Lead Data Engineer 

  

Position 
Senior Data Engineer to lead and drive forward complex and high-impact data initiatives. 

  

Summary of the Role 
Howden Group Services is expanding its internal data engineering capability and is looking for a highly experienced Senior Data Engineer with deep expertise in Databricks and Azure data services. The ideal candidate will have a strong background in designing and delivering scalable, metadata-driven data solutions, particularly in metadata ingestion and orchestration processes. 

  

The role requires a strategic thinker who can lead technical design discussions, drive best practices, and mentor junior engineers. The successful candidate will be comfortable managing multiple deliverables, working closely with stakeholders, and implementing robust data solutions to enable business insights and operational efficiencies. 

  

Responsibilities 
The successful candidate will: 

  • Lead the development of metadata ingestion frameworks and orchestration processes. 

  • Design and implement scalable and reusable metadata-driven services to optimise data pipelines. 

  • Architect and maintain robust data solutions using Databricks and Azure services (such as Autoloader, Spark Declarative Pipelines  Azure Data Factory (ADF), Azure Functions, and Azure Data Lake Storage (ADLS)).). 

  • Establish and enforce best practices for data engineering, CI/CD pipelines, and DevOps for data. 

  • Collaborate with business stakeholders, data scientists, and analysts to understand data needs and translate them into efficient engineering solutions. 

  • Optimise and enhance existing data pipelines for performance, reliability, and scalability. 

  • Drive the adoption of data governance and security best practices. 

  • Lead the design and maintenance of ETL processes  

  • Mentor and support junior engineers, sharing best practices and driving a culture of continuous improvement. 

 

Requirements 
Candidates should have: 

  • 8+ years of experience in data engineering with a strong focus on Databricks (SQL & PySpark). 

  • Extensive experience with Azure data services, including ADF, ADLS, and Azure Functions. 

  • Proven track record of designing and implementing metadata-driven data pipelines. 

  • Deep expertise in orchestration and data workflow automation e.g. Airflow, DBT. 

  • Strong understanding of CI/CD practices for data engineering. 

  • Experience with infrastructure as code (Terraform, Bicep, or ARM templates) (preferred). 

  • Solid development and coding standards, with experience in software engineering best practices. 

  • Experience leading technical design discussions and driving architectural decisions. 

  • Strong stakeholder management skills, with the ability to translate business requirements into data solutions. 

  • Knowledge of data governance, security, and compliance best practices. 

  • Experience working with insurance data (not essential, but preferred). 

  

This role is an excellent opportunity for an experienced Data Engineer who wants to take on a leadership role, influence best practices, and drive high-impact data initiatives in a modern Azure-based data ecosystem. 

  

What do we offer in return?

A career that you define. At Howden, we value diversity – there is no one Howden type. Instead, we’re looking for individuals who share the same values as us:

  • Our successes have all come from someone brave enough to try something new

  • We support each other in the small everyday moments and the bigger challenges

  • We are determined to make a positive difference at work and beyond

Reasonable adjustments

We're committed to providing reasonable accommodations at Howden to ensure that our positions align well with your needs.  Besides the usual adjustments such as software, IT, and office setups, we can also accommodate other changes such as flexible hours* or hybrid working*.

If you're excited by this role but have some doubts about whether it’s the right fit for you, send us your application – if your profile fits the role’s criteria, we will be in touch to assist in helping to get you set up with any reasonable adjustments you may require.

*Not all positions can accommodate changes to working hours or locations. Reach out to your Recruitment Partner if you want to know more.

Permanent
HQ

Howden Re London, England Office

London, United Kingdom

Similar Jobs

2 Days Ago
In-Office
London, Greater London, England, GBR
Senior level
Senior level
Professional Services • Real Estate • Financial Services
Leads complex data engineering initiatives, designing metadata-driven ingestion frameworks, orchestration processes, scalable Databricks and Azure data solutions, and robust ETL pipelines. Establishes CI/CD, DevOps, governance, security, and data engineering best practices; optimizes pipeline performance and reliability; collaborates with stakeholders, analysts, and data scientists; leads technical architecture decisions; and mentors junior engineers.
Top Skills: Apache AirflowArm TemplatesAutoloaderAzure Data FactoryAzure Data Lake StorageAzure FunctionsBicepCi/CdDatabricksDbtDevOpsETLAzurePysparkSpark Declarative PipelinesSQLTerraform
3 Days Ago
In-Office
London, Greater London, England, GBR
Expert/Leader
Expert/Leader
Gaming
Lead the development and technical direction of high-volume streaming and batch data pipelines for PlayStation game analytics. Responsibilities include building resilient pipeline services, integrating data collection and BI tools, improving data quality, lineage and observability, supporting existing tooling, collaborating with DevOps and analytics teams, and mentoring colleagues. The role uses Go or Python and AWS data services including S3, Redshift, Kinesis, Firehose, Athena and Glue.
Top Skills: Amazon AthenaAmazon Data FirehoseAmazon KinesisAmazon RedshiftAmazon S3AWSAws GlueClaude CodeCodexGitGithub ActionsGoLookerOmni AnalyticsPythonTableau
9 Days Ago
Hybrid
London, Greater London, England, GBR
Expert/Leader
Expert/Leader
Financial Services
Leads hands-on development of secure, scalable cloud-native software, data engineering, backend systems, and AI/ML infrastructure. Designs microservices and distributed applications, builds production-scale data platforms, develops architecture artifacts, and promotes responsible AI-assisted engineering practices. Works with AWS data services, containers, Kubernetes, DevOps, and MLOps while supporting engineering standards, automation, troubleshooting, and stakeholder communication.
Top Skills: Amazon AthenaAmazon EksAmazon S3AWSAws GlueBig DataCloud ComputingDistributed SystemsDockerInfrastructure As CodeKnowledge GraphsKubernetesLlmsMicroservicesMlopsOpensearchPythonRetrieval-Augmented Generation (Rag)Vector Databases

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account