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- Tasks: Lead database modernisation and migration projects while optimising performance and ensuring data accuracy.
- Company: Join a top consultancy known for impactful software and data engineering solutions across various sectors.
- Benefits: Enjoy a hybrid work model, competitive salary, and the chance to work with cutting-edge technologies.
- Why this job: Be part of a collaborative team that values care, quality, and leadership in delivering transformative solutions.
- Qualifications: Must have extensive experience with Databricks, Azure, Python, and a background in regulated environments.
- Other info: This is a contract role with opportunities for mentorship and technical leadership.
The predicted salary is between 48000 - 84000 £ per year.
Direct message the job poster from developrec
Head of Global Delivery Centre | Tech Recruitment Partner @ developrec
Job Type: Contract (Inside IR35)
Location: Hybrid – 2 days a week in London
Start Date: ASAP
A leading technology consultancy is looking for a highly skilled Lead Data Engineer with strong Databricks and Azure experience
This position offers the opportunity to work within a fast-paced, collaborative environment, delivering critical modernisation solutions for a high-profile client.
This is a pivotal role for an experienced professional passionate about data engineering and transformational delivery.
Key Responsibilities
- Lead the planning and execution of database modernisation, conversion, and migration activities, ensuring alignment with project timelines and deliverables.
- Oversee database architecture assessments and performance optimisation efforts.
- Collaborate with development and architecture teams to improve data flow and streamline database operations.
- Conduct thorough testing and validation of migrated data to ensure completeness and accuracy.
- Develop and maintain comprehensive documentation of migration strategies, standards, and processes.
- Provide mentorship and technical leadership to team members.
- Extensive experience as an Lead Data Engineer
- Strong Databricks, Azure and Python experience
- Experience in a highly regulated environment
- Must have production experience
- Worked with modern data pipelines
- Regulated environment experience is a must (ideally financial services)
About the Company
This consultancy is renowned for delivering high-risk, high-profile software and data engineering projects at pace. Their clients include leading organisations across commodities, energy trading, finance, digital, and public sectors.
The company is driven by a culture of Care, Quality, and Leadership, and is committed to delivering business value through technological excellence.
They pride themselves on working in close partnership with clients and users, utilising modern technologies and agile methodologies to bring about meaningful change. Their teams are built on mutual respect, continuous learning, and a shared passion for delivering impactful solutions.
The organisation has earned numerous industry awards for its innovative solutions and is actively expanding its team of forward-thinking professionals.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Contract
Job function
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Job function
Information Technology
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Industries
Data Infrastructure and Analytics, Software Development, and Financial Services
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Lead Data Engineer (Azure/Databricks) employer: developrec
Contact Detail:
developrec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer (Azure/Databricks)
✨Tip Number 1
Make sure to showcase your experience with Databricks and Azure in any conversations you have. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Network with professionals in the financial services sector, as having regulated environment experience is crucial for this role. Attend industry meetups or webinars to connect with others who can provide insights or referrals.
✨Tip Number 3
Prepare to discuss your approach to database modernisation and migration strategies in detail. Be ready to explain how you ensure data accuracy and completeness during these processes, as this is a key responsibility of the role.
✨Tip Number 4
Consider reaching out directly to the job poster on LinkedIn. A personalised message expressing your interest and relevant experience can help you stand out and may lead to a more favourable impression.
We think you need these skills to ace Lead Data Engineer (Azure/Databricks)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Azure, and Python. Emphasise any previous roles where you led database modernisation or worked in regulated environments, particularly in financial services.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and transformational delivery. Mention specific projects where you've successfully implemented modern data pipelines and how your leadership has positively impacted team performance.
Showcase Relevant Experience: When detailing your work history, focus on your production experience and any high-profile projects you've been involved in. Use metrics to demonstrate the impact of your contributions, such as improvements in data flow or performance optimisation.
Prepare for Technical Questions: Anticipate technical questions related to database architecture, migration strategies, and performance optimisation. Be ready to discuss your problem-solving approach and provide examples from your past experiences that showcase your expertise.
How to prepare for a job interview at developrec
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Databricks, Azure, and Python in detail. Highlight specific projects where you've successfully implemented these technologies, especially in regulated environments like financial services.
✨Demonstrate Leadership Experience
Since this role involves providing mentorship and technical leadership, share examples of how you've led teams or projects in the past. Discuss your approach to guiding less experienced team members and fostering a collaborative environment.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced during database modernisation or migration activities and how you overcame them, ensuring you align your answers with the company's focus on quality and care.
✨Understand the Company Culture
Research the consultancy's values and recent projects. Be ready to discuss how your personal values align with theirs, particularly around continuous learning and delivering impactful solutions. This will show your genuine interest in being part of their team.
