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- Tasks: Lead the data engineering team, designing and managing data solutions.
- Company: Join a rapidly expanding SaaS company focused on innovative data solutions.
- Benefits: Enjoy remote work with just one office day per month and competitive salary.
- Why this job: Be part of a growing team, mentoring others while enhancing your technical skills.
- Qualifications: Experience as a Lead Data Engineer with strong SQL and ETL knowledge required.
- Other info: This role offers hands-on opportunities in a collaborative agile environment.
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 companies 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 BA's 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. If you have the required skills and experience please send your CV for a full brief.
Lead Data Engineer (work from home) employer: Fdo Consulting
Contact Detail:
Fdo Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer (work from home)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as SQL, ETL processes, and data warehousing solutions. Being able to discuss your hands-on experience with these tools during an interview will demonstrate your suitability for the role.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've mentored or guided team members in previous roles. This will highlight your ability to influence and develop others, which is a key aspect of the Lead Data Engineer position.
✨Tip Number 3
Research the company’s SaaS products and understand their data needs. Being able to articulate how you can contribute to their growth and improve their data assets will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your experience with agile methodologies and the software development lifecycle (SDLC). Highlighting your familiarity with these processes will reassure the hiring team that you can seamlessly integrate into their existing workflows.
We think you need these skills to ace Lead Data Engineer (work from home)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Lead Data Engineer or in similar roles. Focus on your hands-on skills with SQL, ETL processes, and data warehousing solutions. Use specific examples to demonstrate your achievements and how you've contributed to previous projects.
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 your experience in mentoring and guiding teams, as well as your ability to design scalable and reliable data solutions. Personalise it to reflect why you want to work with this expanding SaaS product company.
Highlight Relevant Skills: In your application, emphasise your knowledge of the SDLC, agile methodologies, and any experience with Databricks. Make sure to include your problem-solving skills and how you've successfully analysed complex business problems in the past.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a role that involves managing data assets.
How to prepare for a job interview at Fdo Consulting
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with SQL, ETL processes, and data warehousing in detail. Highlight specific projects where you designed or optimised data solutions, as this will demonstrate your hands-on skills and technical knowledge.
✨Emphasise Leadership and Mentoring Skills
Since this role involves guiding other team members, share examples of how you've mentored or trained colleagues in the past. Discuss your approach to fostering a collaborative environment and how you can help improve the team's skills.
✨Understand the Company’s Data Needs
Research the company’s SaaS products and their data requirements. Be ready to discuss how you would work with Data Scientists and Business Analysts to address complex business problems and design effective data solutions.
✨Prepare for Agile Methodology Questions
As the role is within an agile team, be familiar with the Software Development Life Cycle (SDLC) and be ready to discuss your experience with agile practices. Share how you’ve contributed to agile projects and any challenges you faced during delivery.
