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- Tasks: Lead a team to develop innovative data solutions in a hybrid work environment.
- Company: Join a leading FTSE 100 airfreight logistics organization with global impact.
- Benefits: Enjoy a competitive salary, 40% bonus potential, and flexible remote work options.
- Why this job: Be part of a major data transformation project and shape the future of data infrastructure.
- Qualifications: Strong communication skills and experience in data engineering leadership required.
- Other info: Full UK working rights needed; no sponsorship available.
The predicted salary is between 42000 - 84000 £ per year.
Data Engineering Lead – AWS & Snowflake, Hybrid working: 3 days inTW6, Middlesex offices & 2 days homer/remote, Salary: Negotiable to £70.,000 DOE plus 40 % bonus potential, Job Reference: J12869 Full UK working rights required/no sponsorship available The role Looking for a challenge in one of the worlds largest airfreight logistics organisation and a FTSE 100 company? Within the Digital and Information function, the Data Engineering Lead will play a pivotal role in delivering and operating data products. Reporting to the Head of Data, Insights & Operational Research, this position holds significant responsibility within the data leadership team, ensuring our data solutions and business processes are fully aligned and contribute to the vision and strategic direction of the organisation. The successful candidate will join the team at an exciting time. They are in the early stages of a major programme of work to modernise their data infrastructure, tooling and processes to migrate from an on-premise to a cloud native environment and the Data Engineering Lead will be essential to the success of the transformation. Using your strong communication skills combined with a determined attitude you will be responsible for managing and developing a team of data engineers to develop effective and innovative solutions aligning to our architectural principles and the business need. You will ensure the team adheres to best practices in data en…
Data Engineering Lead - AWS & Snowflake employer: Datatech Analytics Careers
Contact Detail:
Datatech Analytics Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Lead - AWS & Snowflake
✨Tip Number 1
Familiarize yourself with AWS and Snowflake, as these are crucial for the role. Consider taking online courses or certifications to deepen your understanding and showcase your expertise.
✨Tip Number 2
Highlight your experience in leading data engineering teams. Be prepared to discuss specific projects where you successfully managed a team and delivered innovative data solutions.
✨Tip Number 3
Research the company’s current data infrastructure and any recent initiatives they’ve undertaken. This will help you align your skills and experiences with their strategic goals during discussions.
✨Tip Number 4
Prepare to demonstrate your strong communication skills. Think of examples where you effectively communicated complex data concepts to non-technical stakeholders, as this is key for the role.
We think you need these skills to ace Data Engineering Lead - AWS & Snowflake
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Engineering Lead position. Understand the key responsibilities and required skills, especially around AWS and Snowflake, as this will help you tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with data engineering, cloud technologies, and team management. Use specific examples that demonstrate your ability to lead projects and teams in a similar environment.
Showcase Communication Skills: Since strong communication skills are highlighted in the job description, provide examples of how you've effectively communicated complex data solutions to non-technical stakeholders in your previous roles.
Tailor Your Application: Customize your CV and cover letter to reflect the company's vision and strategic direction. Mention how your background aligns with their goals, particularly in modernizing data infrastructure and processes.
How to prepare for a job interview at Datatech Analytics Careers
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AWS and Snowflake in detail. Highlight specific projects where you've successfully implemented data solutions, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Leadership Skills
As a Data Engineering Lead, you'll need to manage and develop a team. Share examples of how you've led teams in the past, focusing on your approach to mentoring, conflict resolution, and fostering a collaborative environment.
✨Align with Company Vision
Research the company's strategic direction and be prepared to discuss how your skills and experiences align with their goals. Show that you understand their current challenges and express your enthusiasm for contributing to their data transformation journey.
✨Prepare Questions
Have insightful questions ready to ask the interviewers about the company's data infrastructure modernization efforts. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
