Data Engineer - Hybrid Working - OUTSIDE IR35

Bread Street
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer - Hybrid Working - OUTSIDE IR35

We are seeking a skilled Data Engineer to join our financial services organisation and their data warehousing initiative, a critical part of a broader integration project following a recent acquisition. The Data Engineer will play a key role in uplifting and redeveloping an existing data warehouse to serve the needs of both entities. This role requires extensive experience with SQL Server Integration Services (SSIS) to rebuild and optimise ETL processes, ensuring seamless data ingestion, analysis and integration from various new source systems. The role also involves close collaboration with data analysts and participation in testing activities.

This is a hybrid role, requiring the candidate to be based in the office 3 days a week.

Knowledge and Skills Required:

Extensive experience with SQL Server Integrations Services (SSIS) and Microsoft SQL Server development.
Extensive knowledge of T-SQL and stored procedure programming on Microsoft SQL Server.
Experience in scripting tasks with SSIS (Powershell, C#, Python).
Proven experience in designing, developing and implementing data warehousing solutions with a focus on data integration and ETL development.
Solid understanding of data warehousing concepts, architectures, and best practices.
Strong understanding of database architecture, indexing, and query optimization.
Strong analytical and problem-solving skills, with the ability to identify and resolve data-related issues.
Excellent collaboration and communication skills, with the ability to work effectively with technical and non-technical stakeholders.
High attention to detail and a commitment to data accuracy and quality.
Data Engineer - Hybrid Working - OUTSIDE IR35

Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. 

Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation

We take our obligations to protect your personal data very seriously.  Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website (url removed)

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.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.