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.
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
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.
PermanentSkills Required
- 8+ years of experience in data engineering
- Strong experience with Databricks, SQL, and PySpark
- Extensive experience with Azure Data Factory, Azure Data Lake Storage, and Azure Functions
- Experience designing and implementing metadata-driven data pipelines
- Expertise in orchestration and data workflow automation, such as Airflow or dbt
- Strong understanding of CI/CD practices for data engineering
- Experience with software engineering development and coding standards
- Experience leading technical design discussions and architectural decisions
- Strong stakeholder management and business requirements translation skills
- Knowledge of data governance, security, and compliance best practices
- Experience with infrastructure as code using Terraform, Bicep, or ARM templates
- Experience working with insurance data
What We Do
Hyperion Group is a vertically integrated investor, developer, and operator of residential and mixed-use real estate with a focus on South Florida and New York. The firm utilizes its extensive financial, legal, and development expertise to identify unique opportunities, managing a portfolio of high-end residential units and mixed-use properties to deliver significant value to its investors and stakeholders.
