Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer

Elevation Recruitment Group
Goole
2 days ago
Create job alert
Overview

Senior Business Manager - IT, Tech & Data at Elevation Recruitment Group. Goole – Hybrid (1-2 days in the office). Permanent.

Role Summary

Elevation IT are looking for a skilled Data Engineer with proven expertise in ETL, data warehousing, and modern cloud platforms.

In this role, you’ll design and optimise data pipelines that power decision-making across the business. You’ll work hands-on with Talend, Snowflake, SQL, and Python to build scalable solutions, ensure data quality and enable seamless integration across systems.

Responsibilities
  • Extract, transform, and load (ETL) data from diverse sources, including ERP and cloud-based systems
  • Automate processes using scripting and integration tool
  • Ensure data quality, integrity, and consistency throughout projects
  • Collaborate with business users, IT teams, and project stakeholders to understand data structures and requirements
  • Provide technical leadership and mentoring to fellow data engineers
  • Troubleshoot data issues and optimize pipeline performance
  • Document ETL processes and develop best practices for scalability and reuse
Key Skills & Experience
  • Proven experience in data engineering projects and data warehousing
  • Strong expertise with Talend (at least 2 years) and Snowflake
  • Solid knowledge of ETL tools and data transformation techniques (JSON, XML)
  • Proficiency in SQL, Python, or other scripting languages for automation
  • Strong understanding of metadata structures, relational databases, and data modelling
  • Hands-on experience with version control and CI/CD practices
  • Excellent analytical and problem-solving skills
  • Strong communication skills and ability to work effectively with cross-functional teams

This is a fantastic opportunity to work with cutting-edge tools in a modern data environment, be part of a collaborative, innovative team solving real business problems in a flexible and supportive work environment.

Location & Employment

Location: Goole – Hybrid (1-2 days in the office)

Employment type: Permanent

Seniority level

Associate

Job function

Information Technology

Industries

Manufacturing


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.