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- Tasks: Lead the design and delivery of innovative data solutions and manage key projects.
- Company: Join a dynamic UK consultancy focused on cutting-edge data engineering.
- Benefits: Competitive salary, flexible onsite work, and involvement in diverse cloud projects.
- Why this job: Tackle complex data challenges and shape the future of data engineering.
- Qualifications: 6+ years in Data Engineering with strong skills in Python, PySpark, and SQL.
- Other info: Must be eligible for SC clearance; client-facing experience is a plus.
The predicted salary is between 80000 - 120000 £ per year.
SR2 have just partnered with a UK based consultancy who are urgently looking to hire several Lead Data Engineers.
Location: Central London (2 – 3 days a week onsite).
Salary: £95,000 – 105,0000 (dependant on experience).
Tech / Tools: Python, PySpark, SQL, ELT, Azure DataBricks, Data Factory, Snowflake, CI/CD.
Key responsibilities:
- Lead technical delivery of strategic programmes, taking ownership for designing and building innovative data solutions.
- Work with the data engineering team to help deliver key projects on time.
- Create robust, performant data pipelines.
- Work on messy, complex real-world data challenges.
- Implement CI/CD practices for data pipelines to improve efficiency and quality of data processing.
- Demonstrate strong programming / scripting skills in Python.
- Build robust ETL processes to extract, transform, and load data from diverse sources.
- Ensure data integrity, security, privacy, and compliance across all data workflows.
- Continuously monitor system performance and implement strategies to enhance efficiency.
- You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP).
- Support in setting the direction and vision of the Data Engineering team.
Ideal background:
- 6+ years in a Data Engineering position.
- Excellent knowledge of PySpark, Python and SQL fundamentals.
- Good experience with Azure DataBricks, Data Factory, Snowflake, CI/CD.
- Ability to work on messy, complex real-world data challenges.
- Experience working for a consultancy / large organisation would be a big plus.
- Must have strong client-facing experience.
- Be comfortable working in a fast-paced environment, working across several different projects.
You must be eligible for SC clearance.
If interested, please apply with your updated CV and we’ll line up a call to discuss the details.
Look forward to hearing from you all!
Lead Data Engineer employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Make sure to highlight your experience with Python, PySpark, and SQL in your conversations. These are key skills for the Lead Data Engineer role, and demonstrating your proficiency can set you apart from other candidates.
✨Tip Number 2
Familiarize yourself with Azure DataBricks and Data Factory, as well as CI/CD practices. Being able to discuss how you've implemented these tools in past projects will show that you're ready to hit the ground running.
✨Tip Number 3
Prepare examples of how you've tackled complex data challenges in previous roles. This will demonstrate your problem-solving skills and ability to work with messy data, which is crucial for this position.
✨Tip Number 4
Since client-facing experience is a big plus, think of instances where you've successfully communicated technical concepts to non-technical stakeholders. This will showcase your ability to bridge the gap between technical and business needs.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, PySpark, SQL, and the other tools mentioned in the job description. Emphasize your leadership skills and any relevant consultancy experience.
Craft a Strong Cover Letter: In your cover letter, explain why you are passionate about data engineering and how your background aligns with the responsibilities of the Lead Data Engineer role. Mention specific projects where you've successfully implemented data solutions.
Showcase Relevant Projects: Include examples of complex data challenges you've tackled in previous roles. Detail your approach to building data pipelines and implementing CI/CD practices, as these are key aspects of the job.
Highlight Client-Facing Experience: Since strong client-facing experience is a plus, make sure to mention any relevant interactions with clients or stakeholders. Describe how you effectively communicated technical concepts to non-technical audiences.
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, PySpark, SQL, and the tools mentioned in the job description. Highlight specific projects where you designed and built data solutions, focusing on your role in creating robust data pipelines.
✨Demonstrate Problem-Solving Abilities
Expect questions about how you've tackled messy, complex data challenges in the past. Share examples that illustrate your analytical thinking and ability to implement effective solutions under pressure.
✨Emphasize Client-Facing Experience
Since strong client-facing skills are crucial for this role, prepare to discuss your experience working with clients. Highlight how you've communicated technical concepts to non-technical stakeholders and ensured their needs were met.
✨Discuss CI/CD Practices
Be ready to explain your understanding and experience with CI/CD practices in data engineering. Discuss how you've implemented these practices to improve efficiency and quality in your previous projects.
