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- Tasks: Lead the design and management of data assets while mentoring a dynamic team.
- Company: Join an expanding SaaS company focused on innovative data solutions.
- Benefits: Enjoy a competitive salary, remote work flexibility, and monthly office meet-ups.
- Other info: This role is primarily home-based with one office day per month in Nottingham.
- Why this job: Be part of a growing team that values technical excellence and collaboration.
- Qualifications: Experience as a Lead Data Engineer with strong SQL and ETL skills required.
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: LinkedIn
Contact Detail:
LinkedIn 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 more about the company culture at StudySmarter.
✨Tip Number 2
Showcase your hands-on experience by discussing specific projects where you designed and implemented data solutions. Be prepared to explain your thought process and the impact of your work on the business outcomes.
✨Tip Number 3
Familiarise yourself with the latest trends in data warehousing and data lakes, particularly focusing on tools like Databricks. This knowledge will not only help you stand out but also demonstrate your commitment to staying current in the field.
✨Tip Number 4
Prepare to discuss your mentoring and coaching experiences. Highlight how you've helped team members grow their skills, as this aligns with the responsibilities of guiding other members of the data engineering team at StudySmarter.
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 processes, and data warehousing. Use specific examples to demonstrate your ability to analyse complex business problems and design effective solutions.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your previous experiences align with the responsibilities outlined in the job description, particularly your mentoring and coaching abilities within a data engineering team.
Showcase Relevant Projects: If you have worked on relevant projects, include them in your application. Describe your role in designing and managing data integration processes or creating data models, and highlight any experience with Databricks if applicable.
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 Lead Data Engineer role.
How to prepare for a job interview at LinkedIn
✨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 Business Needs
Research the company’s products and services to understand their data needs. Be ready to discuss how you would work closely with Data Scientists and Business Analysts to align data solutions with business objectives.
✨Prepare for Agile Methodology Questions
As the role requires working in an agile environment, be prepared to discuss your experience with the Software Development Life Cycle (SDLC). Share how you’ve contributed to agile teams and any specific methodologies you’ve used.