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- Tasks: Design and maintain scalable data pipelines and lead the setup of a centralised data lake.
- Company: Join a fast-growing tech-driven company focused on digital transformation and innovation.
- Benefits: Enjoy flexible working arrangements, including remote work options and opportunities for professional growth.
- Why this job: Influence the data strategy from the start in a collaborative and innovative environment.
- Qualifications: Proven experience as a Data Engineer with expertise in AWS and ETL processes required.
- Other info: We are an equal opportunities employer, welcoming diverse applicants.
The predicted salary is between 51000 - 119000 £ per year.
Location: Leeds, on-site 2x per week
Salary: Up to £85,000
Why Apply? Our client is looking for a talented Data Engineer to play a key role in their ongoing digital transformation. This full-time, permanent position offers the chance to develop the initial data strategy, design scalable pipelines, and create a data lake that will be central to their reporting initiatives. If you are experienced in managing cloud-based data infrastructures and eager to drive innovative solutions, this role is perfect for you.
Data Engineer Responsibilities- Design and maintain scalable, automated data pipelines to ingest, process, and deliver quality data across internal systems.
- Lead the setup of a centralised data lake to unify data from various sources, supporting BI and analytics needs across the business.
- Partner with teams across the business, including Product, Analytics, and IT, to ensure data requirements are met and that systems align with business goals.
- Continuously improve data workflows by identifying optimisation and automation opportunities to enhance system performance.
- Guide junior engineers by providing mentorship and fostering best practices within the data team.
- Stay current with data engineering technologies and innovations, ensuring the infrastructure remains scalable and future-ready.
- Demonstrated experience as a Data Engineer, with a proven track record of designing and managing scalable data pipelines.
- Experience in a similar capacity, with a focus on designing and implementing robust data pipelines and infrastructure.
- Thorough knowledge of ETL processes, with the ability to optimize data extraction, transformation, and loading.
- Extensive commercial expertise with AWS, including services like Glue, Data Catalog, R and large-scale data storage solutions such as data lakes.
- Excellent analytical and problem-solving skills, with the ability to enhance and streamline complex data processes.
- Strong communication skills, with experience working alongside technical and non-technical teams.
- Influence the data strategy and define data architecture from the outset, a unique opportunity to set the direction without any pre-existing frameworks!
- Flexible working arrangements, including remote work options.
- A collaborative, forward-thinking work environment where innovation is encouraged.
- Opportunities for continuous professional growth and development within a fast-growing, tech-driven company.
We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.
Senior Data Engineer in Leeds employer: Fruition Group
Contact Detail:
Fruition Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Leeds
✨Tip Number 1
Network with professionals in the data engineering field, especially those who work with AWS and data lakes. Attend local meetups or online webinars to connect with potential colleagues and learn about the latest trends in data engineering.
✨Tip Number 2
Showcase your experience with cloud-based infrastructures by discussing specific projects you've worked on. Be prepared to explain how you designed scalable data pipelines and optimised ETL processes in previous roles.
✨Tip Number 3
Familiarise yourself with the company's current data strategy and any recent projects they've undertaken. This will help you tailor your conversations during interviews and demonstrate your genuine interest in their goals.
✨Tip Number 4
Prepare to discuss how you can mentor junior engineers and foster best practices within a team. Highlight any previous leadership experiences or initiatives you've taken to improve team performance.
We think you need these skills to ace Senior Data Engineer in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience as a Data Engineer, particularly in designing and managing scalable data pipelines. Use specific examples that demonstrate your expertise with AWS and ETL processes.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the company's digital transformation goals. Mention how your skills align with their needs, especially in creating a centralised data lake and optimising data workflows.
Highlight Collaboration Skills: Since the role involves partnering with various teams, emphasise your strong communication skills and any previous experience working alongside technical and non-technical teams. This will show that you can effectively bridge gaps between departments.
Showcase Continuous Learning: Mention any recent courses, certifications, or projects that demonstrate your commitment to staying current with data engineering technologies. This is particularly important given the emphasis on innovation and future-ready infrastructure in the job description.
How to prepare for a job interview at Fruition Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with designing and managing scalable data pipelines. Highlight specific projects where you've successfully implemented ETL processes and worked with AWS services like Glue and Data Catalog.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical skills. Prepare examples of how you've identified optimisation opportunities in data workflows and the impact of those improvements on system performance.
✨Emphasise Collaboration Experience
Since the role involves partnering with various teams, be ready to share instances where you've effectively communicated and collaborated with both technical and non-technical stakeholders to meet data requirements.
✨Express Your Passion for Innovation
The company values forward-thinking approaches, so convey your enthusiasm for staying current with data engineering technologies. Discuss any recent trends or innovations you've explored and how they could benefit the organisation.
