Senior Data Engineer

Fruition Group; Leeds; Hybrid; GBP 50,000 - 60,000; Full time

Job summary

An innovative tech for good organization is seeking a Senior Data Engineer to lead the design and delivery of cloud-based data infrastructure. This role offers the chance to work with large datasets and scalable pipelines, contributing to significant environmental goals. You'll be at the forefront of digital transformation, ensuring data quality and security while mentoring junior engineers. With a hybrid working model and opportunities for professional growth, this position is perfect for those eager to make a positive impact using cutting-edge technology.

Benefits

Professional growth opportunities

Cutting-edge technology

Hybrid working model

Qualifications

• Strong experience with AWS data technologies and cloud data platform development.
• Proficient in Python, Apache Spark, and SQL for data engineering tasks.

Responsibilities

• Develop scalable and secure data architectures ensuring optimal data flow.
• Mentor data engineers and collaborate with stakeholders.

Skills

AWS data technologies

Python

Apache Spark

SQL

Data warehouse design

Data migration projects

Data Lake building

CI/CD data pipelines

Communication skills

Problem-solving skills

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

Senior Data Engineer
Hybrid 2x per week (Leeds, West Yorkshire)
Salary to £60,000 + benefits

About the Role:
Our client, a tech for good organisation, is investing heavily in digital transformation and building a cloud-first, data-led approach to support major environmental goals. Think scalable pipelines, secure platforms, and data systems that directly contribute to a greener future.

As a Senior Data Engineer, you'll play a key role in designing and delivering robust, cloud-based data infrastructure. You'll work with large datasets, build scalable pipelines, and help ensure data is high quality, secure, and accessible, while mentoring more junior engineers and working closely with stakeholders across the business.

Key Responsibilities:
Develop scalable and secure data architectures ensuring optimal data flow
Cloud data platform development, data modelling, shaping and technical planning
Implementing best practices around data security, governance, privacy, and compliance
Ensure company data is secure, accurate, maintained and available.
Mentor data engineers and support their growth.
Implement best practices for data security and compliance.
Collaborate with stakeholders and external partners.

Skills & Experience:
Strong experience with AWS data technologies (e.g., S3, Redshift, Lambda).
Proficient in Python, Apache Spark, and SQL.
Experience in data warehouse design and data migration projects.
Cloud data platform development and deployment.
Expertise across data warehouse and ETL/ ELT development in AWS preferred
Experience is building a Data Lake as well as building CI/CD data pipelines
Excellent communication and problem-solving skills.

What's on Offer:
Salary to £60,000 + benefits
Hybrid working model with a minimum of 2 days per week in our Leeds office.
Opportunities for professional growth and development.
Using cutting edge technology as they only use the newest and best

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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