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For Companies At a Glance
- 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 AI technologies.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and learning in cloud technologies.
- Why this job: Be at the forefront of data engineering, shaping the future with advanced analytics and AI.
- Qualifications: Proficiency in cloud platforms, Power BI, Python, SQL, and ETL processes required.
- Other info: This role is perfect for tech-savvy individuals eager to lead in a rapidly evolving field.
The predicted salary is between 43200 - 72000 £ per year.
Lead Data Engineer – Hybrid working 3 days per week onsite
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 employer: DGH Recruitment
Contact Detail:
DGH Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Familiarize yourself with the latest cloud technologies, especially Azure, AWS, or GCP. Being able to discuss specific projects or experiences where you've utilized these platforms will show your expertise and readiness for the role.
✨Tip Number 2
Brush up on your Power BI skills, particularly DAX and Power Query. Consider creating a sample dashboard that showcases your ability to provide strategic insights, as this can be a great talking point during interviews.
✨Tip Number 3
Highlight any experience you have with ETL/ELT processes and data warehousing. Be prepared to discuss how you've built or maintained data pipelines in previous roles, as this is crucial for the position.
✨Tip Number 4
Stay updated on AI and machine learning trends, especially their application in data analytics. Being able to articulate how you've integrated these technologies into your work will set you apart from other candidates.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Lead Data Engineer position. Make sure you understand the key responsibilities and required technical skills, as this will help you tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with cloud platforms, ETL/ELT processes, and data engineering strategies. Use specific examples that demonstrate your proficiency in Python, SQL, and Power BI.
Showcase Your Technical Skills: Make sure to detail your technical skills related to data processing services and AI/ML concepts. Mention any relevant projects or achievements that illustrate your expertise in these areas.
Craft a Compelling Cover Letter: Write a personalized cover letter that connects your background to the company's goals. Discuss how your experience aligns with their needs and express your enthusiasm for contributing to their data and analytics function.
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
Prepare examples of how you've tackled complex data challenges in the past. Discuss specific projects where you designed scalable data solutions or integrated AI technologies into existing infrastructures.
✨Familiarize Yourself with Power BI
Since advanced skills in Power BI are crucial for this role, be ready to talk about your experience with DAX, Power Query, and data modeling. Consider bringing a portfolio of dashboards or reports you've created.
✨Understand the Company’s Data Strategy
Research the company's current data initiatives and be ready to discuss how your vision aligns with their goals. Show that you can contribute to building a unified data platform and driving innovation through analytics.
