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- Tasks: Lead the creation of a cutting-edge data platform and analytics function.
- Company: Join a forward-thinking company focused on innovation through data and AI.
- Benefits: Enjoy opportunities for remote work and access to the latest technologies.
- Why this job: Be at the forefront of data engineering, shaping the future with AI and analytics.
- Qualifications: Expertise in cloud platforms, Power BI, Python, SQL, and data processing is essential.
- Other info: This role offers a chance to lead operational AI initiatives and predictive analytics.
Lead Data Engineer 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. In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having first sought approval of its client to find candidates for this position. DGH Recruitment Limited acts as both an Employment Agency and Employment Business
Lead Data Engineer employer: DGH Recruitment Ltd.
Contact Detail:
DGH Recruitment Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Make sure to showcase your experience with cloud platforms like Azure, AWS, or GCP in your conversations. Highlight specific projects where you implemented scalable data solutions, as this will resonate well with the hiring team.
✨Tip Number 2
Familiarize yourself with the latest trends in AI and machine learning, especially how they apply to data analytics. Being able to discuss recent advancements or case studies can set you apart during interviews.
✨Tip Number 3
Prepare to discuss your experience with ETL/ELT processes and data warehousing in detail. Be ready to explain how you've built robust pipelines and managed large datasets, as this is crucial for the role.
✨Tip Number 4
If you have experience creating Power BI dashboards, be prepared to share examples of how your insights influenced business decisions. This practical knowledge will demonstrate your ability to provide strategic insights effectively.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Lead Data Engineer position. 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 analytics. Provide specific examples of projects where you've successfully implemented these technologies.
Showcase Technical Skills: Clearly list your proficiency in programming languages like Python, SQL, and Scala, as well as your experience with Power BI. Mention any relevant certifications or training that demonstrate your expertise.
Craft a Compelling Cover Letter: Write a personalized cover letter that connects your background to the company's goals. Discuss how your skills in AI, real-time analytics, and data infrastructure can contribute to their new Data & Analytics function.
How to prepare for a job interview at DGH Recruitment Ltd.
✨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 your programming skills in Python, SQL, or Scala. Providing specific examples of past projects can really make you stand out.
✨Demonstrate Your Strategic Thinking
Since the role involves developing a data engineering strategy, be ready to talk about how you've aligned data initiatives with organizational goals in the past. Think about how you can contribute to building a unified data platform and share your vision.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities, especially regarding real-time analytics and automation. Prepare to discuss how you would handle large volumes of structured and unstructured data and the technologies you would use.
✨Familiarize Yourself with AI and ML Concepts
As the role includes leading operational AI initiatives, brush up on your knowledge of machine learning models and their application in predictive analytics. Be ready to discuss any relevant experience you have in this area.
