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

Apply Now

Junior Data Engineer - SQL

Connexa Technology Limited
Penwortham
1 year ago
Applications closed

Related Jobs

View all jobs

Junior Data Engineer

Junior Data Engineer (Energy Domain)

Junior Data Engineer (Energy Domain)

Junior Data Engineer

Junior Data Engineer

Junior Data Engineer

Are you a recent graduate or a Junior Data Engineer looking to grow your career in a financial organisation? Our client is seeking a motivated Junior Data Engineer to join their team and play a key role in delivering robust data integration solutions. This is a fantastic opportunity to work hands-on with cutting-edge data technologies, while gaining invaluable experience and learning on the job. What You'll Do: Build and maintain ETL processes, ensuring seamless integration and high-quality data delivery. Collaborate with the Data Operations Team to support both legacy systems and develop new processes. Work closely with clients to create customised database solutions that meet their unique needs. Optimize and implement T-SQL stored procedures and functions for performance and efficiency. Enhance the overall client integration platform with a focus on scalability, reusability, and high performance. Your Key Responsibilities: Gain hands-on experience with T-SQL, SSIS, SSRS, and other MS-Stack technologies. Assist in the integration and maintenance of internal financial systems. Design and create ETL packages, adhering to best practices while innovating where needed. Proactively contribute to the development and enhancement of new and existing data processes. What We're Looking For: A degree in a relevant field or hands-on experience in data integration, analytics, or related areas. A basic understanding of T-SQL, SSIS, SSRS, and traditional MS-Stack technologies. Strong analytical and problem-solving skills, with a desire to learn and grow. A proactive attitude and a willingness to collaborate with team members and stakeholders. This is your chance to start or grow your career in data engineering with a supportive team that values development and innovation. If you're eager to expand your technical skills and make a real impact in a financial setting, we'd love to hear from you Established in Didsbury, Connexa Technology Ltd is becoming one of the UK's fastest growing IT and Technology recruitment companies. People. Technology. Connected. Connexa Technology is acting as an Employment Agency in relation to this vacancy

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.