Lead Data Engineer

Lead Data Engineer

Edinburgh Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data engineering projects and enhance existing processes with innovative solutions.
  • Company: Join Defleet, a forward-thinking company prioritising data and analytics in its operations.
  • Benefits: Enjoy flexible working options and a collaborative team environment.
  • Why this job: Be part of a data-driven culture that values your input and drives real business impact.
  • Qualifications: Experience in data engineering and a passion for technology and process improvement required.
  • Other info: Opportunity to work closely with business teams and influence key decisions.

The predicted salary is between 43200 - 72000 £ per year.

Continuing Defleet's data led journey and recognising the importance the Data & Analytics team performs in this regard, we are looking for a skilled Lead Data Engineer who is passionate about exploiting data and searching for improvements in our existing processes and technology. The ideal candidate can work closely with business teams, drives solutions with a focused mentality on business value.

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Contact Detail:

Motability Operations Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Data Engineer

✨Tip Number 1

Familiarise yourself with the latest data engineering tools and technologies that are relevant to our industry. Being able to discuss your experience with specific tools during an interview can set you apart from other candidates.

✨Tip Number 2

Showcase your ability to work collaboratively with business teams. Prepare examples of past projects where you successfully bridged the gap between technical and non-technical stakeholders, as this is crucial for the role.

✨Tip Number 3

Demonstrate your problem-solving skills by preparing to discuss how you've identified inefficiencies in previous processes and the steps you took to improve them. This will highlight your proactive approach and focus on business value.

✨Tip Number 4

Research our company’s current data initiatives and be ready to share your insights or suggestions during the interview. Showing that you’ve done your homework will impress us and demonstrate your genuine interest in the role.

We think you need these skills to ace Lead Data Engineer

Data Modelling
ETL Processes
Big Data Technologies
Cloud Computing (AWS, Azure, GCP)
SQL and NoSQL Databases
Data Warehousing
Data Pipeline Development
Programming Languages (Python, Java, Scala)
Data Governance
Business Intelligence Tools
Collaboration Skills
Problem-Solving Skills
Agile Methodologies
Performance Tuning
Data Quality Assurance

Some tips for your application 🫡

Understand the Role: Take time to thoroughly read the job description for the Lead Data Engineer position. Understand the key responsibilities and required skills, such as data exploitation and process improvement, to tailor your application effectively.

Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with data engineering, analytics, and any relevant technologies. Provide specific examples of how you've driven business value through data solutions in previous roles.

Showcase Your Passion: Express your enthusiasm for data and analytics in your application. Mention any personal projects or initiatives that demonstrate your commitment to improving processes and technology in the field.

Customise Your Application: Make sure to customise your CV and cover letter for this specific role. Use keywords from the job description and align your skills and experiences with the company's goals and values to stand out.

How to prepare for a job interview at Motability Operations

✨Show Your Passion for Data

Make sure to express your enthusiasm for data and analytics during the interview. Share specific examples of how you've used data to drive improvements in past roles, as this will demonstrate your commitment to the field and align with the company's focus on data-led solutions.

✨Understand Business Value

Prepare to discuss how your technical skills can translate into business value. Think about past projects where your work directly impacted business outcomes, and be ready to explain these scenarios clearly to show that you can bridge the gap between data engineering and business needs.

✨Collaborate Effectively

Since the role involves working closely with business teams, be prepared to talk about your experience in cross-functional collaboration. Highlight instances where you successfully partnered with non-technical stakeholders to achieve common goals, showcasing your ability to communicate complex ideas simply.

✨Stay Updated on Technology Trends

Demonstrate your knowledge of the latest trends and technologies in data engineering. Research current tools and methodologies that are relevant to the role, and be ready to discuss how you can leverage these innovations to improve existing processes at the company.

Lead Data Engineer
Motability Operations
Location: Edinburgh
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