Data Engineer

Ampstek supplies thousands of tech and digital professionals annually to a range of clients through its offices which spread across in 42 countries. From simple beginnings in 2014, Ampstek has always been on a journey to reinvent the world of recruitment through creating amazing customer and candidate experiences driven by a genuine desire to build long term relationships and outcomes. This motivation to break from the pack is stronger than ever as we roll out Ampstek Power globally, an innovative life hub platform for freelancers based around rewarding loyalty and providing a range of professional and personal wellbeing programs. AmpsTek is an global information technology consulting company with its headquarters in Princeton,NJ,USA and has a global presence spanning 40 countries across USA,Australia,NZ,Singapore,Malaysia,Canada,CostaRica,Mexico,UK,Germany,France,Sweden,Denmark,Austria,Belgium,Netherlands,Romania,Poland,Hungary,Spain,Czech,Bulagaria,Ireland,Norway,Croatia,Slovakia,Portuagl,Switzerland,Greece,Phillipines,Vietnam,Thailand,Indonesia,Srilanka,India,Southkorea,Taiwan,Hongkong, Southafrica, UAE, Turkey At Ampstek we see community impact and legacy as vital to our business, which is why we tackle social bias and attitudes. We provide employment opportunities for young people experiencing barriers to employment, and programs like 100% Human at Work promoting the importance of diversity, equality and respect in the workplace. We look to lead the way so we’re delighted to have our efforts acknowledged with awards globally in the last few years from the likes of LinkedIn, EY, Deloitte, who recognised Ampstek as one of the Top 30 companies in the world to work based on employee engagement. Our specialist areas include: Microsoft Dynamics Azure Mobile (IOS & Android) Development SAP,ERP Big Data and Business Intelligence Business Analysis, QA & Testing Solution Design & Architecture Network and Application Security Cloud Hosting & DevOp’s Engineers

The Role

Overview:

A leading UK bank is seeking a skilled Data Engineer to support the Product Lifecycle Catalogue (hardware and software) underpinning IT Asset Management (ITAM) in ServiceNow. This role is driven by regulatory requirements and involves close collaboration with the Solution Architect and Data Analytics teams. The Data Engineer will be responsible for building and maintaining data systems that ensure data accuracy, accessibility, and security.

Key Responsibilities:

• Data System Development: Design, build, and maintain robust data systems, including data pipelines, data warehouses, and data lakes, to efficiently collect, store, process, and analyze large volumes of data.
• Data Governance: Implement and enforce data governance practices, ensuring data integrity, compliance with regulatory standards, and adherence to the bank's data policies.
• Collaboration: Work closely with the Solution Architect and Data Analytics teams to align data engineering efforts with broader IT and business objectives.
• Machine Learning & Data Mining: Apply machine learning techniques and data mining processes to enhance data processing capabilities and extract valuable insights.
• Secure Coding Practices: Ensure that all data systems are developed with secure coding practices to protect sensitive information and comply with security protocols.
• Change & Transformation: Support change and transformation initiatives by developing scalable and adaptable data solutions that can evolve with the bank's needs.
• Database Management: Design and manage database structures that support efficient data storage, retrieval, and analysis.
• Strategic Thinking: Contribute to the development of data strategies that align with the bank’s long-term goals and digital transformation efforts.
• Risk & Controls: Identify potential risks in data processes and implement controls to mitigate these risks, ensuring compliance with internal and external regulations.
• Professional Collaboration: Engage with cross-functional teams to ensure that data solutions are fully integrated and support business processes effectively.

Ideal Profile

Mandatory Requirements:

• DevOps: Experience with DevOps practices to support continuous integration and deployment of data systems.
• Data Governance: Strong knowledge of data governance frameworks and their application in a financial environment.
• Requirements Analysis: Ability to conduct detailed requirements analysis to inform data system design and development.
• Machine Learning: Proficiency in applying machine learning techniques to data processing and analysis.
• Data Mining: Experience with data mining techniques to extract valuable insights from large datasets.
• Strategic Thinking: Ability to align data engineering efforts with the bank’s strategic objectives.
• Data Warehousing (DW): Expertise in designing and managing data warehouses that support large-scale data analysis.
• Change & Transformation: Experience in supporting change initiatives through the development of flexible and scalable data solutions.
• Database Structures: Strong skills in designing and managing database structures that ensure efficient data storage and retrieval.
• Secure Coding Practices: Proficiency in secure coding practices to protect sensitive data.
• Risk & Controls: Knowledge of risk management and control measures specific to data systems in a financial context.
• Data Engineering: Proven experience in data engineering, with a focus on building and maintaining data systems in a complex, regulated environment.

What's on Offer?

• Join a well known brand within IT Services
• Work within a company with a solid track record of success
• Excellent career development opportunities