Senior Data Engineer

Fruition Group; Leeds; On-site; GBP 75,000 - 85,000; Full time

Job summary

A leading company in digital transformation is looking for a Senior Data Engineer to revolutionize their data strategy. This full-time position allows you to design scalable data solutions and lead projects that drive innovation and efficiency across various functions within the organization. Offering a collaborative environment, this role is perfect for a motivated engineer ready to leave their mark.

Benefits

Flexible working arrangements

Collaborative work environment

Opportunities for professional growth

Qualifications

• Experience managing cloud-based data infrastructures.
• Demonstrated experience with scalable data pipelines.
• Expertise in ETL processes and AWS services.

Responsibilities

• Design and maintain scalable data pipelines.
• Setup a centralized data lake for unified data.
• Guide and mentor junior engineers.

Skills

Cloud-based data infrastructures

Data pipeline design

ETL processes

Data analysis

Problem-solving

Communication

Education

Proven track record as a Data Engineer

Tools

AWS

Glue

Data Catalog

Large-scale data storage solutions

Job description

This range is provided by Fruition Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Fruition Group

Job Title: Senior Data Engineer
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.

• 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.

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Technology, Information and Internet

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