Data Engineer with C# Dot Net asp.net with SQL Server SSIS SSRS

Nexus
London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer - Design Configuration

Data Engineer

Data Engineer

Mid-Level Data Engineer

Senior Data Engineer

Data Engineer (Azure)

Job Description

Data Engineer with C# Dot Net asp.net with SQL Server SSIS SSRS


Our Client is a bank based in Central London who are looking to recruit at least 7 years plus experience as a Data Engineer with the ability to work with C# Dot net and SQL Server with SSIS.


You must have solid expertise of at least 7 years experience of working with and developing software with C# Dot Net and MS SQL Server and SSIS, SSRS and SSAS – SSIS is very important for this position.


Must be an excellent problem solver and adept writing documentation for all projects.


You ideally have worked on banking systems particularly Core Banking.

Responsible for the development and delivery of new systems to automate and streamline processes required by different departments.


To support the internal IT department with changes and upgrades to software platforms.


To be primary contact for all technical questions relating to in-house bespoke systems and interfacing.


Analysis of issues pertaining to problems or errors raised by in-house systems, i.e. CORE, SharePoint interface,


Equation, Kondor, Eximbills, end of day cycle.

Support


Supporting budgeting and financial planning processes for Finance department, including loading and refreshing of data based on requirements.


Understand and conduct the front-end functionality to amend and change hierarchical structures within the environment.


Build data flows within the SQL environment in SSIS and SSAS packages.


Integrate the SharePoint environment and Forms with Equation system to introduce automation of processes thereby eliminating the need for duplicate entry.


Utilise web services to integrate from cutting edge technology into legacy systems such as Equation.


Integrate with all the systems using data abstraction and connectivity layers, i.e. ODBC, ADO.net.

Duties


Maintain knowledge of all applicable regulatory requirements including the Bank’s Risk and Compliance policies and procedures and adhere to these to avoid exposing the Bank to undue risk.


Report policy/procedure breaches and areas of potential non-compliance and suspicions promptly upon identification in accordance with the Bank's Risk and Compliance policies.


Accurately execute all controls within own area to minimise risk of policy, procedure, and/or regulatory breaches.


Identify new risks/control gaps within own area and escalate accordingly to your Line Manager.

Must Have Skills


Software analysis and design.


SQL Server query language with SSIS.


Data warehouse design concepts, (Inmon or Kimball)


Experience of developing software with C# Dot Net and asp.net and SQL Server is a must.


Must have solid experience of working with SSIS and building data warehouses.

The Client is a Bank based in the Central London.


Must have a degree qualification.


This is a 12 month FTC position with a salary of circa £55K - £70K.


This is a hybrid position - you will be required to be in the office at least 3 days week.


Do send your CV to us in Word format along with your salary and availability.

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

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

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.

🍪 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.