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- Tasks: Lead data engineering projects, transforming raw data into actionable insights for clients.
- Company: Join a dynamic IT consultancy focused on solving real-world data challenges.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be part of a collaborative culture that values innovation and client success.
- Qualifications: Experience in IT consultancy, with skills in Python, SQL, and big data tools required.
- Other info: This role includes some travel across Europe.
The predicted salary is between 54000 - 84000 £ per year.
The ideal Lead Data Engineer will have a background from either an IT Technology provider or IT Consultancy and enjoys working with clients to solve real world data problems. In this exciting role, you'll partner with clients to transform raw data into powerful insights, ensuring top-tier performance, reliability, and compliance with data governance standards. The Lead Data Engineer will be well versed in the latest Data Tools / Gen AI and can utilise them to deliver high quality solutions that align with the clients' objectives.
To be considered for this role you will need some of the following:
- Experience from either an IT Technology provider or IT Consultancy background.
- Thrives working in a client facing environment and has a proven track record working across a range of sectors that include but are not limited to banking, insurance, healthcare, media, retail, infrastructure and telco.
- The ideal candidate will have expertise in some of the following: Python, SQL, Scala, and Java for data engineering.
- Strong experience with big data tools (Apache Spark, Hadoop, Databricks, Dask) and cloud platforms (AWS, Azure, GCP).
- Proficient in data modelling (relational, NoSQL, dimensional) and DevOps automation (Docker, Kubernetes, Terraform, CI/CD).
- Skilled in designing scalable, fault-tolerant data architectures.
- Strong focus on security and compliance, implementing RBAC, encryption, and auditing best practices.
- Strong problem-solving ability to debug and optimize data pipelines.
- Effective cross-functional collaborator with leadership experience in mentoring engineers and enforcing best practices.
NB - This role does have some European travel.
If you are an experienced Lead Data Engineer with the required skills, please respond to this ad in the first instance with an up to date version of your CV for review.
Data Engineering Lead employer: McCabe & Barton
Contact Detail:
McCabe & Barton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Lead
✨Tip Number 1
Familiarise yourself with the latest data tools and technologies mentioned in the job description, such as Apache Spark and AWS. Being able to discuss these tools confidently during your interview will show that you're up-to-date and ready to hit the ground running.
✨Tip Number 2
Highlight your experience in client-facing roles. Prepare specific examples of how you've successfully collaborated with clients to solve data problems, as this is a key aspect of the role. Demonstrating your ability to communicate effectively with clients can set you apart.
✨Tip Number 3
Brush up on your problem-solving skills, especially in debugging and optimising data pipelines. Be ready to discuss challenges you've faced in previous roles and how you overcame them, as this will showcase your analytical thinking and technical expertise.
✨Tip Number 4
Since the role involves some European travel, be prepared to discuss your flexibility and willingness to travel. This shows your commitment to the role and your readiness to engage with clients across different locations.
We think you need these skills to ace Data Engineering Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in IT Technology or Consultancy, focusing on client-facing roles. Emphasise your expertise in Python, SQL, and big data tools like Apache Spark and Hadoop, as well as any relevant cloud platform experience.
Showcase Relevant Projects: Include specific examples of projects where you've transformed raw data into insights. Detail your role in these projects, the technologies used, and the impact on the client's objectives to demonstrate your problem-solving skills.
Highlight Leadership Experience: If you have experience mentoring engineers or leading teams, make sure to mention this. Companies value candidates who can collaborate effectively and enforce best practices within a team.
Focus on Compliance and Security: Given the emphasis on security and compliance in the job description, include any relevant experience you have with implementing RBAC, encryption, or auditing best practices in your previous roles.
How to prepare for a job interview at McCabe & Barton
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, Scala, and Java. Highlight specific projects where you used these languages to solve data engineering challenges, and be ready to explain your thought process and the outcomes.
✨Demonstrate Client-Facing Experience
Since this role involves working closely with clients, share examples of how you've successfully collaborated with them in the past. Discuss any challenges you faced and how you overcame them to deliver valuable insights.
✨Discuss Big Data Tools and Cloud Platforms
Familiarise yourself with the big data tools mentioned in the job description, such as Apache Spark and Hadoop, as well as cloud platforms like AWS and Azure. Be ready to explain how you've used these technologies to build scalable data architectures.
✨Emphasise Problem-Solving Abilities
Prepare to discuss specific instances where you've debugged and optimised data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your analytical skills.
