At a Glance
- Tasks: Lead the migration of a data lake to Databricks and mentor teams in best practices.
- Company: Join a long-standing financial advice network in the UK, shaping futures for generations.
- Benefits: Enjoy hybrid work with three days from home and a chance to make a real impact.
- Other info: Don’t stress about your CV; just apply and we’ll sort it out later!
- Why this job: Take ownership of a greenfield project and influence decisions at board level.
- Qualifications: Hands-on experience with Databricks, Azure, SQL, Python, and ETL design required.
The predicted salary is between 43200 - 72000 £ per year.
Direct message the job poster from Data Science Talent
Recruitment Delivery Manager| We help companies build effective Data Science, Artificial Intelligence, Data Engineering and Machine Learning teams in…
West Country - Hybrid - 3 Days Work from home per week
Shape a greenfield data platform from day one, setting the standards for architecture, engineering and governance that will guide a major financial services organisation for years to come. You’ll define how data is designed, delivered and used—while steering the migration to Databricks and mentoring teams to raise their technical game.
This is a rare chance to take real ownership: you’ll make hands-on technical decisions, assure third-party delivery, and establish best practices that become the blueprint for a large-scale transformation. The impact of your work will be felt not just across engineering but at board level—unlocking data to drive smarter decisions across the business.
What you\'ll do
This is a large-scale data transformation. You’ll own the migration of the existing data lake into Databricks while helping them develop new capabilities in data governance, data quality and data management.
Right now, most delivery is handled by external suppliers. But they need someone internal to assure quality, raise in-house skills and provide strong technical leadership across projects. That’s where you come in. You’ll be the technical lead with deep engineering knowledge and practical architecture skills.
You\'ll take ownership of the platform migration and assurance, leading the migration of the existing data lake into Databricks. You\'ll assure engineering quality from third-party suppliers and contribute hands-on to coding, pipeline development and modelling of core data entities.
You\'ll also support configuration, testing frameworks, and knowledge transfer into their architecture and engineering teams with implementation-driven design.
In addition, you\'ll support the existing data engineering team with business as usual tasks (SQL queries, Synapse analytics, pipeline maintenance) that include introducing best practices . You’ll also be mentoring team skills in coding, testing, and DevOps and collaborate with the Software Delivery Manager and data engineering leadership.
What you\'ll need
- Strong Azure Cloud knowledge
- Proficient in SQL, Python, PySpark
- Practical data modelling & pipeline architecture
- Terraform or Bicep for IaC
About the company
The company is one of the longest-established financial advice networks in the UK and have helped over two generations of people to make good financial decisions.
Please click the ‘Apply’ button. Don’t worry if your CV isn’t up to date. Just send what you have and we’ll deal with that later.
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Contract
Job function
Job function
AdministrativeIndustries
Financial Services, Investment Banking, and Investment Management
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#J-18808-LjbffrSenior Data Engineer/Architect (Contract) employer: Data Science Talent
Join a pioneering financial services organisation that values innovation and technical excellence, offering a unique opportunity to shape a greenfield data platform while working in a hybrid model from the beautiful West Country. With a strong focus on employee growth, you will have the chance to mentor teams, enhance your skills in cutting-edge technologies like Databricks, and make impactful decisions that resonate at all levels of the business. Enjoy a collaborative work culture that prioritises quality and best practices, ensuring your contributions lead to meaningful transformations in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer/Architect (Contract)
✨Tip Number 1
Familiarise yourself with Databricks and Azure Cloud. Since this role heavily involves migrating to Databricks, having hands-on experience and understanding its functionalities will set you apart. Consider exploring online tutorials or documentation to brush up on your skills.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience in financial services. Engaging with industry peers can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your previous experiences with ETL processes and pipeline design. Be ready to share specific examples of how you've implemented best practices in past projects, as this will demonstrate your capability to lead and mentor others.
✨Tip Number 4
Showcase your leadership skills by highlighting any mentoring or team-leading experiences. This role requires strong technical leadership, so emphasising your ability to guide teams and raise their technical skills will make you a more attractive candidate.
We think you need these skills to ace Senior Data Engineer/Architect (Contract)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your hands-on experience with Databricks, Azure Cloud, SQL, Python, and PySpark. Emphasise any previous roles where you led data migrations or transformations, as this is crucial for the position.
Craft a Compelling Cover Letter:In your cover letter, express your enthusiasm for shaping a greenfield data platform. Mention specific examples of how you've assured quality in third-party deliveries and your approach to mentoring teams in technical skills.
Showcase Relevant Projects:If you have worked on similar large-scale data transformations or migrations, include these projects in your application. Detail your role, the technologies used, and the impact of your contributions.
Highlight Leadership Skills:Since the role involves providing strong technical leadership, make sure to highlight any experience you have in leading teams, mentoring colleagues, or driving best practices in data engineering and architecture.
How to prepare for a job interview at Data Science Talent
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with Databricks, Azure Cloud, and SQL. Highlight specific projects where you've successfully implemented data migration or architecture solutions, as this will demonstrate your capability to lead the transformation.
✨Emphasise Leadership and Mentoring Skills
Since the role involves mentoring teams and raising in-house skills, share examples of how you've previously led teams or mentored colleagues. This will show that you can not only manage technical tasks but also foster growth within the team.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios, especially related to data governance and quality assurance. Think of challenges you've faced in past roles and how you overcame them, particularly in a collaborative environment.
✨Understand the Company's Vision
Research the company's history and their approach to financial services. Being able to articulate how your skills align with their goals will demonstrate your genuine interest in the role and the organisation, making you a more compelling candidate.
