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- Tasks: Lead a team to design and implement innovative data solutions in a hybrid work environment.
- Company: Join a FTSE 100 company modernising its data infrastructure and processes.
- Benefits: Enjoy hybrid working, competitive salary, and a potential 40% bonus.
- Why this job: Be part of a transformative project that shapes the future of data engineering.
- Qualifications: Experience with AWS, Snowflake, SQL, and strong leadership skills required.
- Other info: Refer friends for rewards and join a leading recruitment agency in analytics.
The predicted salary is between 42000 - 84000 £ per year.
Hybrid working: 3 days in TW6, Middlesex offices & 2 days home/remote
Negotiable to £70,000 DOE plus 40% bonus potential
An exciting opportunity has arisen within a FTSE 100 company for a Data Engineering Lead to play a pivotal role in operating and delivering the organisation’s data products. This position holds significant responsibility within the data leadership team, ensuring the data solutions and business processes are fully aligned and contribute to the vision and strategic direction of the organisation.
This is an exciting time to join the organisation as 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. The Data Engineering Lead will be essential to the success of this transformation.
Using your strong communication skills combined with AWS and Snowflake technical expertise, you will be responsible for managing and guiding a team of Data Engineers to develop effective and innovative solutions aligning to the organisation’s architectural principles and business needs. You will ensure the team adheres to best practices in data engineering and contributes to the continuous improvement of the data systems.
- Lead the design, development, and deployment of scalable and efficient data pipelines and architectures.
- Manage and mentor a team of data engineers, ensuring a culture of collaboration and excellence.
- Manage demand for data engineering resources, prioritising tasks and projects based on business needs and strategic goals.
- Monitor and report on the progress of data engineering projects, addressing any issues or risks that may arise.
- Collaborate closely with Analytics Leads, Data Architects, and the wider Digital and Information team to ensure seamless integration and operation of data solutions.
- Develop and implement a robust data operations capability to ensure the smooth running and reliability of our data estate.
- Drive the adoption of cloud technologies and modern data engineering practices within the team.
- Ensure data governance and compliance with relevant regulations and standards.
- Work with the team to define and implement best practices for data engineering, including coding standards, documentation, version control.
Proven Engineering Experience using the AWS Services (S3, EC2, Lambda, Glue)
Proven Data warehousing Experience in Snowflake
Expert in SQL and database concepts including performance tuning and optimisation
Solid understanding of data warehousing principles, data modelling practice
Excellent knowledge of creation and maintenance of data pipelines - ETL Tools (e.g. Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve complex data-related issues
Proficient in data integration techniques including APIs and real-time ingestion
Capable of building, leading, and developing a team of data engineers
Strong project management skills and an ability to manage multiple projects and priorities
Experienced and confident leadership of data engineering activities (essential)
Expert in data engineering practice on cloud data platforms (essential)
Background in data analysis and preparation, including experience with large data sets and unstructured data (desirable)
Knowledge of AI/Data Science principles (desirable)
If you are seeking a fresh challenge to lead and take ownership of an exciting data engineering transformation project, then get in touch to find out more!
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Data Science Team Lead & Data Engineering Team Lead employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Team Lead & Data Engineering Team Lead
✨Tip Number 1
Familiarise yourself with the latest trends in data engineering, especially around AWS and Snowflake. This knowledge will not only help you during interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the data engineering space, particularly those who have experience with cloud technologies. Engaging with industry peers can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your leadership style and how you've successfully managed teams in the past. Highlight specific examples where you guided your team through challenges, as this is crucial for the Data Engineering Lead position.
✨Tip Number 4
Showcase your problem-solving skills by preparing case studies or examples of complex data issues you've resolved. Being able to articulate your thought process will set you apart from other candidates.
We think you need these skills to ace Data Science Team Lead & Data Engineering Team Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS and Snowflake, as well as your leadership skills in data engineering. Use specific examples that demonstrate your ability to manage teams and deliver data solutions.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company's vision. Discuss how your background aligns with their goals, particularly in modernising data infrastructure and leading transformation projects.
Showcase Relevant Projects: Include details of specific projects where you've successfully implemented data pipelines or led a team in a cloud environment. Highlight any challenges you overcame and the impact of your work on the organisation.
Highlight Soft Skills: Emphasise your strong communication and project management skills. Mention how you foster collaboration within teams and ensure adherence to best practices in data engineering.
How to prepare for a job interview at Datatech Analytics
✨Showcase Your Technical Expertise
Make sure to highlight your experience with AWS services and Snowflake during the interview. Be prepared to discuss specific projects where you've successfully implemented data engineering solutions, as this will demonstrate your technical proficiency and relevance to the role.
✨Emphasise Leadership Skills
Since this position involves managing a team of data engineers, it's crucial to convey your leadership style and experience. Share examples of how you've mentored team members, fostered collaboration, and driven project success in previous roles.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities and decision-making skills. Think about challenges you've faced in data engineering projects and how you overcame them, particularly in cloud environments.
✨Align with Company Vision
Research the company's strategic goals and be ready to discuss how your vision for data engineering aligns with theirs. This shows that you're not just focused on the technical aspects but also understand the broader business context and can contribute to their transformation journey.
