Data Engineer (Python
Data Engineer (Python

Data Engineer (Python

St Albans Full-Time 56000 - 84000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the development of data solutions that enhance business performance and decision-making.
  • Company: Join a historic leader in the UK food sector with a legacy dating back to the 18th century.
  • Benefits: Enjoy a competitive salary, bonus, car allowance, and private medical cover in a hybrid work environment.
  • Why this job: Be part of an exciting IT transformation and contribute to impactful data-driven strategies.
  • Qualifications: Experience with AWS, strong SQL skills, and familiarity with data warehousing in FMCG are essential.
  • Other info: Ideal for ETL Engineers, Data Architects, and similar roles looking to advance their careers.

The predicted salary is between 56000 - 84000 £ per year.

Job Type: Permanent

Work Type: Hybrid

Industry: FMCG/IT

Salary: £70,000 to £90,000 per annum + 10% Bonus + Car Allowance + Private Medical

Profile – Data Warehouse Engineer

Our client is a leading figurehead in the UK food sector, with an unparalleled pedigree dating back to the early 18th century. They are currently seeking a Data Warehouse Manager to support their data and analytics department as the company continues to heavily invest and undertake a sustained period of IT transformation.

Job Role – Data Warehouse Engineer

Reporting to the Head of Insights and Intelligent Automation, the Data Warehouse Engineer is responsible for driving the data and analytics strategy for the company. The Data Warehouse Engineer shall play a key role in shaping the data and analytics strategy and contribute to driving business performance through effective data-driven decision-making.

Duties – Data Warehouse Engineer

  • Lead the development and implementation of data and analytics solutions that drive business performance and decision-making.
  • Work closely with the business partnering team to understand business requirements, design appropriate analytic solutions, and oversee the development and deployment of the solutions that support the requirements.
  • Deliver high-quality data and analytics solutions that meet business objectives.
  • Work alongside a team of data professionals to foster a culture of continuous improvement and innovation.

Experience/Qualifications – Data Warehouse Engineer

  • In-depth experience with AWS Services (S3, Redshift, RDS)
  • Strong SQL skills
  • Experience with data warehousing concepts and best practice
  • Experience working in FMCG environment

Candidates who are currently an ETL Engineer, Data Architect, Data Warehouse Developer, Data Platform Engineer, Database Developer, Big Data Engineer, and Data Warehouse Engineer could be suitable for this position.

Data Engineer (Python employer: Omega

Join a prestigious leader in the UK food sector, where your role as a Data Warehouse Engineer will not only drive data and analytics strategy but also contribute to meaningful business performance. With a hybrid work model, competitive salary, and a culture that prioritises continuous improvement and innovation, this company offers exceptional growth opportunities and a supportive environment for your professional development.
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Contact Detail:

Omega Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer (Python

✨Tip Number 1

Familiarise yourself with the specific AWS services mentioned in the job description, such as S3, Redshift, and RDS. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.

✨Tip Number 2

Network with professionals in the FMCG sector, especially those who work with data analytics. Attend industry events or join relevant online forums to gain insights and potentially get referrals for the position.

✨Tip Number 3

Prepare to discuss your experience with data warehousing concepts and best practices during interviews. Be ready to provide examples of how you've implemented these in previous roles to demonstrate your expertise.

✨Tip Number 4

Showcase your ability to work collaboratively by highlighting any past experiences where you partnered with business teams to deliver data solutions. This will illustrate your understanding of the role's requirements and your fit within the company culture.

We think you need these skills to ace Data Engineer (Python

AWS Services (S3, Redshift, RDS)
Strong SQL Skills
Data Warehousing Concepts
ETL Processes
Data Modelling
Data Integration Techniques
Analytical Thinking
Problem-Solving Skills
Collaboration and Teamwork
Business Intelligence Tools
Data Quality Management
FMCG Industry Knowledge
Communication Skills
Continuous Improvement Mindset

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data warehousing, AWS services, and SQL skills. Use specific examples from your past roles that demonstrate your ability to drive data-driven decision-making.

Craft a Compelling Cover Letter: Write a cover letter that connects your background with the job requirements. Emphasise your experience in FMCG environments and how you can contribute to the company's data and analytics strategy.

Showcase Your Technical Skills: In your application, clearly outline your technical skills related to data engineering, such as your proficiency with AWS services (S3, Redshift, RDS) and your understanding of data warehousing concepts. This will help you stand out.

Highlight Team Collaboration: Mention any experience you have working in teams, especially in collaborative environments. The role requires working closely with business partners, so demonstrating your teamwork skills is essential.

How to prepare for a job interview at Omega

✨Showcase Your Technical Skills

Make sure to highlight your experience with AWS services, SQL, and data warehousing concepts during the interview. Be prepared to discuss specific projects where you've successfully implemented these skills.

✨Understand the FMCG Sector

Since the role is within the FMCG industry, it’s crucial to demonstrate your understanding of this sector. Research the company’s history and current trends in the food sector to show your genuine interest.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities. Prepare to discuss how you would approach specific data challenges or projects, particularly those that involve collaboration with business teams.

✨Emphasise Continuous Improvement

The company values innovation and continuous improvement. Be ready to share examples of how you've contributed to a culture of improvement in previous roles, whether through process enhancements or new technologies.

Data Engineer (Python
Omega
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