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- Tasks: Lead a Data Engineering team, design data architecture, and collaborate on innovative analytics solutions.
- Company: Join a worldwide innovative organisation focused on cutting-edge data technologies.
- Benefits: Enjoy hybrid work options, career progression, and the chance to work with the latest tech.
- Why this job: Be part of an exciting project with opportunities for growth and learning in data engineering.
- Qualifications: 5+ years in data engineering, team leadership, and expertise in cloud services and programming languages.
- Other info: This role is based in Manchester; applicants must have the right to work in the UK.
The predicted salary is between 43200 - 72000 £ per year.
Location: Manchester (Hybrid)
*Please note, the client doesn’t offer any sponsorship, and will only consider applicants who have the full right to work within the UK.
Do you want to be part of a new exciting project and lead a small Data Engineering team of 8 that’s planning to grow through to the organisation's next phase of growth? If so, please carry on reading.
A worldwide innovative and exciting organisation is on the lookout for a Senior Data Engineer/Lead to join their Data team. This opportunity offers lots of progression and the opportunity to learn and work with the best and newest technologies, and they already have plans to start working with Microsoft Fabric and Machine Learning.
What you’ll do:
- Support Data Strategy and Architecture: Enable and execute the organization’s Data Strategy, focusing on the development and implementation of robust Data Architecture solutions.
- Drive Data Platform Solutions: Design and support data platform architecture; evaluate, assess, and estimate new projects and requests.
- Coordinate Data Engineering Efforts: Lead and support data engineers in addressing challenges related to data ingestion, transformation, and modeling.
- Streamline Enterprise Data Tools: Collaborate with the Data Governance Board, Digital Council, and IT teams to consolidate enterprise data tools, aligning them to a unified Data Architecture.
- Collaborate with BI and Data Science Teams: Work closely with business intelligence analysts and data scientists to build and deliver innovative insights and analytics solutions.
- Enhance Data Literacy: Partner with internal stakeholders and data experts to share best practices and analytics expertise, fostering improved data literacy across the organization.
What we’re looking for:
- Minimum of 5 years’ experience as a data engineer or a related role.
- At least 5 years’ experience across key areas such as: Data warehousing, Data Fabric, and Data Virtualization. ETL processes. Business intelligence and advanced analytics. Big data and machine learning (Both desirable, and not essential).
- Minimum of 2 years’ experience in managing or leading teams.
- Technical Skills and Expertise:
- Advanced knowledge of Cloud Services (preferably Azure) for data engineering, storage, and analytics.
- Solid expertise in solution architecture and data modeling.
- Proficiency in programming languages like PySpark or Python.
- Strong experience with SQL and NoSQL databases.
- Deep understanding of data warehousing, virtualization, and analytics concepts.
Applying:
If you feel you have the required skills for this opportunity and would like to be considered, please forward an up-to-date version of your CV, and someone will be in contact with you within 24 hours.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Staffing and Recruiting
Business Intelligence Engineer employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Engineer
✨Tip Number 1
Network with professionals in the data engineering field, especially those who have experience with Microsoft Fabric and machine learning. Attend local meetups or online webinars to connect with potential colleagues and learn about the latest trends in business intelligence.
✨Tip Number 2
Familiarise yourself with the specific technologies mentioned in the job description, such as Azure cloud services and programming languages like PySpark or Python. Consider taking online courses or certifications to enhance your skills and demonstrate your commitment to staying current in the field.
✨Tip Number 3
Prepare to discuss your leadership experience in managing data engineering teams. Think of specific examples where you successfully led projects or improved team performance, as this will be crucial in showcasing your fit for the role.
✨Tip Number 4
Research the company’s data strategy and architecture initiatives. Understanding their goals and challenges will allow you to tailor your conversations during interviews, demonstrating that you are not only a good fit for the role but also genuinely interested in contributing to their success.
We think you need these skills to ace Business Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data engineering, particularly focusing on your skills in data warehousing, ETL processes, and any leadership roles you've held. Use keywords from the job description to align your experience with what the company is looking for.
Craft a Compelling Cover Letter: Write a cover letter that not only summarises your qualifications but also expresses your enthusiasm for the role. Mention specific projects or technologies you’ve worked with that relate to the job, such as Microsoft Fabric or machine learning, to demonstrate your fit for the position.
Showcase Technical Skills: In your application, clearly outline your technical skills, especially your proficiency in programming languages like PySpark or Python, and your experience with SQL and NoSQL databases. Providing examples of how you've applied these skills in past roles can strengthen your application.
Follow Up: After submitting your application, consider sending a polite follow-up message if you haven't heard back within a week. This shows your continued interest in the position and can help keep your application top of mind for the recruiters.
How to prepare for a job interview at Digital Waffle
✨Showcase Your Technical Skills
Make sure to highlight your experience with cloud services, particularly Azure, and your proficiency in programming languages like PySpark or Python. Be prepared to discuss specific projects where you've applied these skills.
✨Demonstrate Leadership Experience
Since the role involves leading a team, share examples of how you've successfully managed or mentored others in previous positions. Discuss any challenges you faced and how you overcame them.
✨Understand the Company’s Data Strategy
Research the organisation's current data strategy and architecture. Be ready to discuss how your experience aligns with their goals and how you can contribute to their data platform solutions.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in data engineering scenarios. Think about past experiences where you had to address data ingestion, transformation, or modelling challenges and be ready to explain your thought process.
