# Senior Data Engineer

**Company**: Howden
**Location**: London
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Insurance

**Apply**: https://hyperiongrp.wd3.myworkdayjobs.com/en-US/hyperion_external/job/London/Senior-Data-Engineer_R0018616-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_27d19c8d-8d2

## Description

Howden Group Services is expanding its internal data engineering capability and is looking for an experienced Senior Data Engineer with strong expertise in Databricks and Azure data services.

The ideal candidate will have a proven track record of designing and delivering scalable, metadata-driven data solutions, particularly in metadata ingestion and orchestration processes, and will be capable of working with a high degree of autonomy.

**Responsibilities**

- Take ownership of the development of metadata ingestion frameworks and orchestration processes.

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

- Build 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)).

- Apply and help embed 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.

- Support the adoption of data governance and security best practices across the team.

- Design, build and maintain ETL processes and analytical data products with minimal oversight.

- Provide technical guidance and informal mentoring to junior engineers, reviewing code and sharing best practices.

- Act as a point of escalation for complex, business-critical data issues, demonstrating strong problem solving, communication, and stakeholder management skills.

**Requirements**

- 4-6 years of experience in data engineering with a strong focus on Databricks (SQL & PySpark).

- Strong hands-on experience with Azure data services, including ADF, ADLS, and Azure Functions.

- Proven experience designing and implementing metadata-driven data pipelines.

- Strong understanding of orchestration and data workflow automation, e.g. Airflow, DBT, Spark Declarative Pipelines.

- Strong understanding and practical application of CI/CD practices for data engineering.

- Experience contributing to technical design discussions and architectural decisions.

- Good understanding of data governance, security, and compliance best practices.

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

**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

## Skills

### Required
- Databricks
- Azure data services
- metadata-driven data pipelines
- CI/CD practices
- data governance

### Nice to have
- insurance data

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Source: [Apply at hyperiongrp.wd3.myworkdayjobs.com](https://hyperiongrp.wd3.myworkdayjobs.com/en-US/hyperion_external/job/London/Senior-Data-Engineer_R0018616-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)