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- Tasks: Lead database modernisation and migration projects while collaborating with teams to enhance data flow.
- Company: A top tech consultancy known for high-profile software and data engineering projects across various sectors.
- Benefits: Enjoy a hybrid work model, competitive pay, and the chance to work on impactful projects.
- Why this job: Join a culture of care and innovation, making a real difference in technology and business.
- Qualifications: Extensive experience in data engineering with strong skills in Snowflake, Databricks, and Azure required.
- Other info: This is a contract role outside IR35, offering flexibility and a dynamic work environment.
The predicted salary is between 39600 - 66000 £ per year.
A leading technology consultancy is looking for a highly skilled Lead Data Engineer with strong Snowflake, 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 a Lead Data Engineer.
- Strong Snowflake, Databricks, Azure experience.
- Proven track record with data migration methodologies and execution.
- Skilled in SQL and PL/SQL programming.
- Experience with database backup, recovery, and disaster recovery strategies.
- Strong analytical thinking and problem-solving capabilities.
- Excellent communication and collaboration skills.
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.
Lead Data Engineer (Azure/Snowflake/Databricks) employer: developrec
Contact Detail:
developrec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer (Azure/Snowflake/Databricks)
✨Tip Number 1
Familiarise yourself with the latest trends and best practices in data engineering, particularly focusing on Snowflake, Databricks, and Azure. This will not only enhance your knowledge but also demonstrate your commitment to staying current in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the data engineering community, especially those who have experience with the technologies mentioned in the job description. Engaging in discussions or attending meetups can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully led data migration or modernisation efforts. Be ready to share challenges you faced and how you overcame them, as this will showcase your problem-solving skills and leadership capabilities.
✨Tip Number 4
Demonstrate your ability to mentor and lead by preparing examples of how you've supported team members in their professional development. Highlighting your collaborative approach will resonate well with the company's culture of Care, Quality, and Leadership.
We think you need these skills to ace Lead Data Engineer (Azure/Snowflake/Databricks)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience as a Lead Data Engineer, specifically focusing on your skills with Snowflake, Databricks, and Azure. Use keywords from the job description to ensure your application stands out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and transformational delivery. Mention specific projects where you've led database modernisation or migration activities, and how your contributions made a difference.
Showcase Technical Skills: In your application, emphasise your proficiency in SQL and PL/SQL programming. Provide examples of how you've used these skills in past roles, particularly in relation to database architecture assessments and performance optimisation.
Highlight Leadership Experience: Since this role involves providing mentorship and technical leadership, be sure to include any relevant experiences where you've led teams or projects. Discuss how you foster collaboration and improve data flow within teams.
How to prepare for a job interview at developrec
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Snowflake, Databricks, and Azure in detail. Highlight specific projects where you successfully implemented these technologies, focusing on the challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Skills
Expect questions that assess your analytical thinking and problem-solving capabilities. Prepare examples of complex data migration scenarios you've handled, detailing your approach and the outcomes.
✨Emphasise Collaboration and Leadership
Since this role involves mentoring and leading teams, be ready to share your experiences in guiding others. Discuss how you foster collaboration within teams and ensure alignment with project goals.
✨Prepare for Scenario-Based Questions
Anticipate scenario-based questions related to database architecture assessments and performance optimisation. Think through your thought process and how you would tackle real-world challenges in a fast-paced environment.
