At a Glance
- Tasks: Lead a team in designing and managing data solutions while mentoring fellow engineers.
- Company: Join an expanding SaaS company focused on innovative data solutions.
- Benefits: Enjoy a competitive salary, remote work flexibility, and monthly office meet-ups.
- Why this job: Be part of a growing team where your skills will directly impact the company's success.
- Qualifications: Experience as a Lead Data Engineer with strong SQL and ETL knowledge required.
- Other info: This role is primarily home-based with one office day per month in Nottingham.
The predicted salary is between 70000 - 80000 £ per year.
£ 70000 - 80000 + benefits. Home Based with one day a month at the office in Nottingham. Expanding SaaS product company are looking for a Lead Data Engineer as they continue to grow. In this hands-on role you will be part of the team responsible for designing, creating, deploying and managing the company's data assets and you will guide and influence other members of the data engineering team with the ultimate goal of writing excellent quality, clean and high performant code.
Responsibilities include:
- Work with the Data Architects to determine technical delivery and functionality.
- Design data solutions based on optimal performance, scalability and reliability.
- Create, optimise and maintain logical and physical data models, including data warehouses and data lakes.
- Design and manage the data integration process.
- Work with the team to improve their skills and knowledge (mentoring, training, coaching, etc).
- Contribute as a member of the agile team.
- Work closely with Data Scientists, Data Engineers and BAs to understand the data needs of the business.
Skills Required Include:
- Previous experience as Lead Data Engineer (or similar) in a delivery focused environment.
- Experience analysing complex business problems and designing workable technical solutions.
- Excellent knowledge of the SDLC, including testing and delivery in an agile environment.
- Excellent knowledge of SQL.
- Experience of data warehousing and data lake solutions.
- Good knowledge of ETL processes and tools.
- Knowledge of Databricks an advantage.
This is an excellent opportunity to join a company as it continues to grow and expand its data team. In this lead role you will use your technical skills and soft skills/people skills allowing the data team to further develop. Strong, hands-on skills are mandatory for this role. This role is home based with one day a month at their office in Nottingham. Salary is in the range £ 70000 - 80000 + benefits. If you have the required skills and experience please send your CV for a full brief.
Lead Data Engineer, Home Based employer: Fdo Consulting
Contact Detail:
Fdo Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer, Home Based
✨Tip Number 1
Network with professionals in the data engineering field, especially those who work with SQL and ETL processes. Attend relevant meetups or webinars to connect with potential colleagues and learn about the latest trends in data warehousing.
✨Tip Number 2
Showcase your hands-on experience by contributing to open-source projects or creating your own data solutions. This not only demonstrates your technical skills but also your ability to work collaboratively in an agile environment.
✨Tip Number 3
Prepare to discuss specific examples of how you've solved complex business problems with data solutions. Be ready to explain your thought process and the impact of your work on previous projects during interviews.
✨Tip Number 4
Familiarise yourself with the company's SaaS products and their data needs. Understanding their business model will help you tailor your discussions and demonstrate your genuine interest in contributing to their growth.
We think you need these skills to ace Lead Data Engineer, Home Based
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Lead Data Engineer, focusing on your hands-on skills with SQL, ETL, and data warehousing. Use specific examples to demonstrate your ability to design and manage data solutions.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the company's goals. Mention how your previous experiences align with the responsibilities outlined in the job description.
Highlight Relevant Skills: In your application, emphasise your knowledge of the SDLC, agile methodologies, and any experience with Databricks. Be specific about your mentoring and coaching abilities, as these are crucial for this role.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is essential for a Lead Data Engineer.
How to prepare for a job interview at Fdo Consulting
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with SQL, ETL processes, and data warehousing. Bring examples of past projects where you designed and implemented data solutions, highlighting your problem-solving skills.
✨Demonstrate Leadership Skills
As a Lead Data Engineer, you'll be guiding a team. Share experiences where you've mentored or coached others, and explain how you foster collaboration within an agile environment.
✨Understand the Company's Needs
Research the company’s SaaS products and their data requirements. Be ready to discuss how your skills can help them achieve optimal performance and scalability in their data solutions.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to analyse complex business problems. Practice articulating your thought process in designing technical solutions, especially in relation to data integration and management.