Senior Data Engineer
Cheadle, England, United Kingdom
Together
We are an award-winning specialist mortgage and secured loan provider. Common-sense lending for business and personal customers since 1974.Company Description
Benefits of working at Together
- 26 days holiday, and a day off for your birthday (increasing with service to 30 days), plus bank holidays
- Free access to company holiday homes
- Buy & sell holidays
- Discretionary annual bonus plus an additional Shared Reward Bonus
- Matched pension contribution
- Health cash plan plus Private medical insurance
- Life assurance and Critical illness cover
- Travel season ticket loans and Ride to work scheme
- Free local gym access
- Local bar / restaurant discounts
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Company Description
We’re Together. For over 50 years, we’ve helped thousands of people, businesses and professionals unlock their property ambitions with our common-sense approach to mortgages and secured loans.
We take the time to understand our customers and our door is always open, so we can often help when other lenders can’t or won’t. Based in Cheadle, Cheshire, our 750 colleagues help our customers throughout the UK, backed by the power of a £7 billion loan book.
Job Description
As a Senior Data Engineer, you will play an integral part of the go-live for our major tech transformation. This end-to-end system will literally transform how we work, including access more and ‘better’ data. With this context in mind, we are looking for two Senior Data Engineers to play a pivotal role in designing, developing, and maintaining a cutting-edge data platform on Azure using Databricks. Your primary responsibility will be to architect and implement scalable data pipelines, ensuring efficient data processing, storage, and retrieval. You will collaborate closely with analysts, and other stakeholders to deliver high-quality data solutions that drive business insights and decision-making.
As a Senior Data Engineer, we are looking for someone to:
- Provide logical, and physical data designs/models
- Design, develop, and maintain scalable data pipelines using Azure Databricks
- Ensure efficient data ingestion, transformation, and storage processes
- Work closely with business stakeholders, architects, analysts, and other stakeholders to understand data requirements
- Implement and enforce data security measures to protect sensitive information
- Ensure compliance with data governance policies and regulatory requirements
- Maintain comprehensive documentation of data pipelines, processes, and architectures
Qualifications
Essential
- Strong skills in designing and building ETL/ELT pipelines. ETL v ELT and when to use them
- DataBricks and Azure
- Proficiency in programming languages such as Python, SQL, PowerShell
- Familiarity with cloud architecture and best practices. Specifically, Azure
- Experience in data modelling, schema design, and data warehousing concepts
- OLTP and OLAP Modelling
- Securing data using RBAC
- Understanding of data quality frameworks and data governance principles
- Some experience mentoring junior data engineers
- Financial Service experience
- DevOps experience and tooling: Specifically, Microsoft Azure DevOps
- Knowledge of Microsoft SQL Server architecture and features
If you feel you have some of the skills mentioned above, but not all, please do still apply and we would be happy to have a further discussion with you in regards to your suitability for the role.
Additional Information
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Together embraces diversity and inclusion, and are proud to be an equal opportunity workplace. Not only do we welcome difference – we celebrate it, support it and really value our colleagues for who they are. We are committed to building a team that represents a variety of backgrounds, perspectives and skills.
If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don’t hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.
Please note that all successful applicants will undergo relevant employment reference, financial and criminal record checks.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure Databricks Data governance Data pipelines Data quality Data Warehousing DevOps ELT ETL OLAP Pipelines Python Security SQL
Perks/benefits: Health care Salary bonus
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