Data Engineer
On site
Newcastle Upon Tyne, United Kingdom
Full Time
17-03-2025
Job Specifications
My client is looking for Data Engineers to join their team in Newcastle. Multiple roles are available at various levels, with competitive salaries. This on-site role is based in Newcastle City Centre.
You’ll be responsible for developing, testing, and maintaining the data platform, ensuring data availability and integrity, and working closely with front office and technology teams. You’ll also have the opportunity to work with diverse data types and tackle real-world challenges.
Key Requirements:
Experience in data-related roles, with strong SQL, Python, and Apache Spark skills
Experience with Databricks and Microsoft Azure is a plus
Financial services experience is a bonus, not essential
Strong communication skills (written and verbal)
A 2:1 degree or higher in Computer Science (or related field)
Responsibilities:
Manage and enhance the data platform using both in-house and third-party data tools
Analyse and implement data automation tasks and workflows
Build data pipelines to integrate data from various sources into the firm's data platform
Curate and manage internal and external datasets to support the front office's data requirements
Design and implement effective, best-practice data architectures
Develop and enforce data standards and quality control measures
This opportunity will be based in Newcastle upon Tyne- Full time
** We are unable to sponsor visas for this role, you must be based in the UK with the right to work in the UK in place already
About the Company
We are on a mission to make people happier at work. We help companies attract the right tech talent for their business. And we help technology professionals to find the right new opportunities for their career objectives. By focusing exclusively within the Software Engineering and Data Science markets, we support businesses that use AI to make the world a better place. In short, we find people that help machines help people. How does a recruitment company originate that genuinely disrupts the status quo? By building a '... Know more
Related Jobs
- Company Name
- Green Cat Renewables Ltd
- Job Title
- AI Software Engineer
- Job Description
- Green Cat Renewables Job Advertisement – Renewables AI Software Engineer Location: Edinburgh, Glasgow or Biggar The Company Green Cat Renewables (GCR) is a dynamic, innovative company that provides the complete range of technical services required to deliver renewable energy projects. The team of over 90 Engineers and Environmental Consultants deliver projects on behalf of clients from four offices in Edinburgh, Glasgow, Livingston and Biggar. GCR also works closely with its three sister companies Green Cat Contracting and Green Cat Hydrogen based in the UK and Green Cat Renewables Canada based in Calgary and Halifax. The company has four main departments - Engineering, Environmental & Planning, Geotechnical Services and Technical & Asset Management Services. Underpinning these are the main administrative functions of the business, including a growing Artificial Intelligence (AI) team. Projects are typically based on wind, solar, and hydro power, with an increasing requirement for grid management, battery storage, and alternative technologies. To enhance its services and bolster technological and data analytic capabilities, GCR is seeking an Artificial Intelligence (AI) Software Engineer with a strong background in software engineering to help deliver improvement projects using state-of-the-art AI techniques. The successful candidate will work closely with the Lead AI Engineer and other key collaborators to identify opportunities and implement AI solutions to drive productivity and advance engineering processes. *Please note that Green Cat Renewables do not offer any form of visa sponsorship* The Role The role will initially be focused on improving the useability of AI in several key projects: Ensuring the usability of our custom LLM Application: collaborate with internal end user stakeholders to evolve our LLM Application such that they appreciate its added value in their workflows. Engineering our ANN energy models to be accessible: work with internal stakeholders of varying technical expertise to have the model accessible at levels they are comfortable with. Enhancing our Reporting Speed and Quality: evaluate the current workflows and identify and implement incremental improvements which together will make a major positive development. As time progresses, we expect your contributions to extend across the broader business: Assessment and Analysis: continuously evaluate GCR’s business processes, data infrastructure, and technological capabilities; identify opportunities for AI integration and optimisation; analyse GCR’s needs, objectives, and constraints to develop tailored AI strategies that align with business goals and priorities. Establishing and Leading Engineering Practices: Define and implement best practices for integrating AI into engineering workflows. Lead the development of standards, processes, and tools that enhance collaboration and ensure high-quality engineering outcomes. Research and Development: conduct research and evaluate industry best practices; specify innovative AI solutions that drive value and competitive advantage; seek to improve existing AI solutions. AI Data and Model Management: working with the internal IT team, manage cloud services and hardware used for deploying AI models, particularly with respect to ongoing data size and cost efficiencies. The Candidate The Candidate would ideally have the following: A degree in computer science, data science, artificial intelligence, engineering or a related field. Strong foundation in engineering principles and the ability to integrate AI solutions into engineering processes. Proficiency in developing end-to-end software solutions. Expertise in at least one relevant programming language (e.g., Python, Java, or C++) Familiarity with at least one AI framework (e.g., TensorFlow, PyTorch, or Scikit-learn). Knowledge of AI algorithms, machine learning techniques, and data analytics methodologies, with an emphasis on engineering applications. Understanding of data preprocessing, feature engineering, and statistical analysis. Familiarity with at least one cloud service for deploying AI models (e.g., AWS, Google Cloud, or MS Azure). Ability to transfer knowledge and skills effectively (with AI assistance or otherwise). A desire to learn and to keep abreast of the latest developments in AI. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Business acumen. High self-motivation and ethical standards. Interest in or knowledge of renewable energy systems. Benefits Competitive salary 25 Days annual leave and 8 flexible bank holidays Private Medical Healthcare Cycle to work scheme Professional development opportunities and support Professional fees paid for by the company Company social events and team building days On-site parking with EV charging points available to staff (Edinburgh Office only). Closing Date is 1st April 2025 To apply please send a full CV and covering letter to jobs@greencatrenewables.co.uk .
- Company Name
- Goodman Masson
- Job Title
- Static Data Analyst
- Job Description
- I am working with a leading Investment Bank on a new Static Data Analyst, covering their London and European offices. You will be responsible for maintaining high-quality reference data across systems, ensuring accurate client registration, settlement instructions, and regulatory data management, all while working closely with internal teams to drive process improvements. Key Responsibilities: Maintain high-quality reference data, ensuring compliance with AML/KYC client documentation Register new customers and update product, settlement, and regulatory attributes across all relevant systems Process reference data instructions from incoming workflows within agreed SLAs Manage and approve Standard Settlement Instructions (SSI) for FX/MM derivative products Update internal trading limits and base/fixing rates across branches Collaborate with internal teams to improve existing processes and system efficiencies Support data administration, cash management teams, and ad-hoc projects within Shared Services What We’re Looking For: Degree-qualified or equivalent experience Excellent static or reference data skills, gained within banking Excellent communication skills and the ability to build relationships across teams Strong numerical and analytical capabilities A customer-centric mindset with a keen eye for process improvements High computer literacy, particularly in data manipulation and presentation
- Company Name
- Tenth Revolution Group
- Job Title
- Data Engineer
- Job Description
- Databricks Data Engineer: £60,000 I am looking for a data engineer who has experience in Databricks, Azure, SQL, Python and Spark to join a well-established organisation who are currently expanding their data team. Our client is partnered with both Databricks and Microsoft and they deliver data solutions for a diverse range of clients. They operate with a hybrid working model, where employees are expected to go to the client site when required on a basis of 2-3 times a month. Our client has been growing massively, meaning this is a great opportunity to develop professionally and work with top level data engineers. You will be working directly with clients and work on a variety of different projects in an array of industries. Requirements Strong Databricks experience as well as Python and SQL Azure or AWS experience Benefits Bonus Flexible working Annual salary review 25 days annual leave and bank holidays And more!
- Company Name
- Rev & Regs
- Job Title
- Data Engineer
- Job Description
- Data Engineer Rev & Regs are currently recruiting for a Data Engineer to work for a leading Financial Services Company based in London. The Role Contribute to the development of advanced data engineering capabilities. Apply software engineering principles and database design to create scalable data pipelines, integrations, and models. Design, develop, and optimise data solutions leveraging Snowflake, Fivetran, and DBT Cloud. Implement advanced SQL solutions for data aggregation, transformation, and analysis in Snowflake. Develop modular and reusable transformation models using DBT Cloud to maintain a clean, structured data warehouse. Build robust data pipelines to ingest, transform, and load data into Snowflake using Fivetran and other ETL/ELT tools. Experience Hands-on experience working with Snowflake, Fivetran, and DBT Cloud. Proven experience designing and implementing data warehouses using modern cloud architectures. Expertise in data pipeline monitoring and troubleshooting. Salary - Up to £74,000 Location - Liverpool Hybrid - 1 a week in the office