At a Glance
- Tasks: Design and maintain scalable data pipelines and lead the setup of a centralized 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 data strategy from the ground up in a collaborative, forward-thinking 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 39000 - 78000 £ per year.
Job Title: Senior Data Engineer Location: Leeds, on-site 2x per week Salary: £65,000 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. Data Engineer Requirements 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. What’s in it for me? 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 employer: Fruition IT
Contact Detail:
Fruition IT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Make sure to showcase your experience with cloud-based data infrastructures, especially AWS services like Glue and Data Catalog. Highlight any specific projects where you designed scalable data pipelines or implemented data lakes.
✨Tip Number 2
Demonstrate your ability to collaborate with cross-functional teams. Prepare examples of how you've partnered with product, analytics, or IT teams to meet data requirements and align systems with business goals.
✨Tip Number 3
Stay updated on the latest data engineering technologies and innovations. Mention any recent tools or methodologies you've adopted that could enhance system performance and scalability.
✨Tip Number 4
If you have experience mentoring junior engineers, be sure to highlight this. Discuss how you've fostered best practices within your team and contributed to their professional growth.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Engineer, focusing on your skills in designing and managing scalable data pipelines. Include specific examples of your work 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 background aligns with their needs and how you can contribute to their data strategy.
Highlight Relevant Projects: In your application, include details about relevant projects you've worked on, especially those involving cloud-based data infrastructures and data lakes. This will demonstrate your hands-on experience and problem-solving skills.
Showcase Communication Skills: Since strong communication skills are essential for this role, provide examples of how you've successfully collaborated with both technical and non-technical teams in previous positions. This will help illustrate your ability to partner effectively across the business.
How to prepare for a job interview at Fruition IT
✨Showcase Your Data Pipeline Experience
Be prepared to discuss specific examples of data pipelines you've designed and managed. Highlight the challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills and technical expertise.
✨Familiarize Yourself with AWS Services
Since the role requires extensive knowledge of AWS, make sure you can talk about your experience with services like Glue and Data Catalog. Be ready to explain how you've utilized these tools in past projects to enhance data workflows.
✨Emphasize Collaboration Skills
This position involves partnering with various teams. Prepare to share examples of how you've successfully collaborated with both technical and non-technical teams to meet data requirements and align systems with business goals.
✨Demonstrate Continuous Learning
Stay current with the latest data engineering technologies and innovations. Discuss any recent courses, certifications, or projects that showcase your commitment to professional growth and keeping your skills up-to-date.