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- Tasks: Lead the development of a cutting-edge data platform and analytics function.
- Company: Join a forward-thinking company focused on innovation through data and technology.
- Benefits: Enjoy hybrid working, flexible hours, and opportunities for professional growth.
- Why this job: Be at the forefront of AI and analytics, making a real impact in the tech world.
- Qualifications: Proficiency in cloud platforms, Power BI, Python, SQL, and ETL processes required.
- Other info: Work with a dynamic team and embrace the latest technologies in data engineering.
The predicted salary is between 43200 - 72000 £ per year.
As a Lead Data Engineer, you’ll be instrumental in driving innovation through advanced analytics, AI, cloud technologies, and data science. You will help build a new Data & Analytics function and unified data platform.
Key Responsibilities:
- Develop and execute a data engineering strategy that aligns with organisational goals and technological advancements.
- Design and implement a scalable, reliable, and cost-efficient modern cloud data platform.
- Build and maintain robust ETL/ELT pipelines for processing and managing large volumes of structured and unstructured data.
- Create and manage Power BI dashboards, reports, and data models to provide strategic insights.
- Integrate cutting-edge technologies like AI, real-time analytics, and automation into our data infrastructure.
- Lead operational AI initiatives, including the development of machine learning models for predictive analytics.
Technical Skills:
- Proficiency in cloud platforms (Azure, AWS, or GCP) and data processing services.
- Advanced skills in Power BI, including DAX, Power Query, and data modelling.
- Strong programming abilities in Python, SQL, and/or Scala.
- Expertise in ETL/ELT processes, data warehousing, and data mesh architectures.
- Familiarity with AI/ML concepts and their application in data analytics.
- Experience with metadata management, data lineage tracking, and data cataloguing.
- Knowledge of serverless data processing, event-driven architectures, and modern data stacks.
Lead Data Engineer (London Area) employer: DGH Recruitment
Contact Detail:
DGH Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer (London Area)
✨Tip Number 1
Familiarise yourself with the latest cloud technologies, especially Azure, AWS, and GCP. Being able to discuss recent advancements or projects you've worked on in these areas can really set you apart during interviews.
✨Tip Number 2
Showcase your experience with Power BI by preparing a portfolio of dashboards or reports you've created. This will not only demonstrate your skills but also give you concrete examples to discuss during your interview.
✨Tip Number 3
Brush up on your programming skills, particularly in Python and SQL. Be ready to solve coding challenges or discuss your approach to data processing during technical interviews.
✨Tip Number 4
Stay updated on AI and machine learning trends, as well as their applications in data analytics. Being able to speak knowledgeably about how these technologies can enhance data strategies will impress potential employers.
We think you need these skills to ace Lead Data Engineer (London Area)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, cloud platforms, and programming languages like Python and SQL. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and innovation. Mention specific projects or experiences that showcase your skills in building data platforms and working with AI technologies.
Showcase Technical Skills: Clearly outline your technical skills related to cloud platforms (like Azure or AWS), ETL/ELT processes, and Power BI. Provide examples of how you've used these skills in previous roles to drive results.
Highlight Leadership Experience: Since this is a lead position, emphasise any leadership roles you've held. Discuss how you've led teams or projects, particularly in developing data strategies or implementing new technologies.
How to prepare for a job interview at DGH Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in cloud platforms like Azure, AWS, or GCP. Highlight your experience with ETL/ELT processes and data warehousing, as well as your programming skills in Python, SQL, or Scala.
✨Demonstrate Your Problem-Solving Abilities
Expect to face scenario-based questions that assess your ability to design scalable data solutions. Prepare examples of past projects where you successfully implemented data engineering strategies that aligned with organisational goals.
✨Familiarise Yourself with AI and Analytics
Since the role involves integrating AI and real-time analytics, brush up on your knowledge of machine learning concepts and how they apply to data analytics. Be ready to discuss any relevant projects or initiatives you've led in this area.
✨Prepare Questions for the Interviewers
Engage with your interviewers by asking insightful questions about their current data infrastructure and future plans. This shows your genuine interest in the role and helps you understand how you can contribute to their data and analytics function.
