Data Engineer
On site
Nottingham, United Kingdom
£ 65,000 / year
Full Time
12-03-2025
Job Specifications
Data Engineer
Remote with adhoc travel - Nottingham
Up to £65,000
Why apply?
Fruition IT are working with a leading player in its industry, committed to delivering data-driven insights that enhance business performance. With a strong focus on innovation, the company leverages cutting-edge technology to optimise operations and improve customer experiences.
You will play a key role in designing, developing, and maintaining the organisation's data infrastructure. You'll work closely with stakeholders across the business, including product managers, analysts, and software developers, to ensure seamless data integration and reporting capabilities.
This role will focus on building and optimising data pipelines, managing data warehousing, and ensuring high-quality data is available for business decision-making.
Responsibilities:
Data Pipeline Development: Design, build, and maintain ETL (Extract, Transform, Load) processes to enable efficient data ingestion and transformation.
Database Management: Support and optimise SQL databases, ensuring performance, reliability, and data integrity.
SQL Replication: Manage and maintain SQL replication to ensure data consistency across systems.
SSIS & Data Integration: Develop and maintain SQL Server Integration Services (SSIS) packages to support data workflows.
Data Warehousing: Work on pulling and structuring data warehousing solutions for efficient storage and retrieval.
Power BI & Reporting: Develop dashboards and visualisations using Power BI to support data-driven decision-making.
Azure Data Factory: Leverage Azure Data Factory to build and orchestrate cloud-based data pipelines.
Collaboration: Work closely with data analysts, software engineers, and business stakeholders to understand data needs and develop solutions.
Requirements:
Strong SQL development and optimisation skills.
Experience with SQL Server Integration Services (SSIS) and SQL replication.
Hands-on experience with Visual Studio for database development.
Proficiency in Power BI for creating reports and dashboards.
Experience with Azure Data Factory for cloud-based data integration.
Understanding of data warehousing concepts and best practices.
Strong analytical and problem-solving skills.
Ability to work independently and collaboratively in a fast-paced environment.
We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.
About the Company
We’re an independent, service driven recruitment agency that sources high quality, talented individuals to fill permanent and contract roles across the Technology, Clean Technology & Cyber Security sectors. Since we were established in March 2008 we’ve achieved outstanding success with clients and candidates throughout the UK, US and Europe. We’ve built up rewarding relationships with many of them that continue to this day. Our success is based on four key attributes: • our skills and expertise in the recruitment profess... Know more
Related Jobs
- Company Name
- Vallum Associates
- Job Title
- Data Engineer- Energy Sector
- Job Description
- Job Title: Data Engineer (Data Flows) Location: London- 2days/week Duration: Permanent Energy Sector Client Experience Required Job Description We are seeking a Data Engineer with a strong emphasis on energy industry expertise to join our dynamic team. This role is ideal for candidates who possess deep knowledge of energy sector operations, data flows, and business processes, while being adept at applying this industry insight to support data-driven decision-making. The successful candidate will bridge the gap between technical data management and energy sector strategy, enabling the organization to leverage data as a critical asset. As a Data Engineer , you’ll be part of an Agile and skilled team of other engineers and analysts working on delivering best in class data solutions for our customers. Working with powerful data processing technologies, you will combine the power of your industry knowledge and industry data flows with the full capabilities of AWS, creating the ultimate data services platform. Responsibilities • Work as part of a cross-functional team to design, develop and deploy complex data solutions. • Provide expert technical advice and recommend solutions to the development resources in the planning, strategizing, and the execution of high profile and complex data processing initiatives. • Consistently develop with performance in mind to optimize end user experience. • Work with architects and senior team members to identify new tools and technologies where applicable to expand customer offerings. • Research and take advantage of new technology to improve and expand solutions. • Participate in peer code reviews, troubleshoot and correct software defects. • Work with the internal testing team to ensure appropriate testing is built into the development and ongoing delivery. • Develop efficient queries to retrieve appropriate datasets from relational databases • Design, implement and maintain performance of reliable data pipelines and integrations that feed various applications, using both structured and unstructured data • Create, implement, and maintain data transformation processes Skills & Knowledge you will need: • Proven experience in the energy sector with a focus on data-driven projects • Strong understanding of energy industry concepts, terminology, and key performance indicators. • Energy Industry Knowledge, specifically around D-Flows their purpose and content. • Familiarity with data analysis tools and visualization platforms (e.g., Power BI, Tableau) is a plus, but core technical programming skills are secondary to industry knowledge. • SQL coding skills. • Ability to translate complex energy data sets into actionable insights for non-technical stakeholders. • Excellent communication and collaboration skills, with the ability to work effectively across multidisciplinary teams. • Experience with cloud computing such as Azure or AWS Nice to have: • Experience in data modelling. • Experience of working with large datasets. • Experience with cloud computing such as Azure or AWS • SDLC or Product Development experience • Pentaho Experience • Knowledge of BI tools such as Tableau • Python in Data Engineering Experience • Vertica Experience • Experience with developing REST APIs and microservices • Experienced in relational database design Priyanka Sharma Senior Delivery Consultant Office: 02033759240 Email: psharma@vallumassociates.com
- Company Name
- ATOS
- Job Title
- DATA ARCHITECT
- Job Description
- Eviden, part of the Atos Group, with an annual revenue of circa € 5 billion is a global leader in data-driven, trusted and sustainable digital transformation. As a next generation digital business with worldwide leading positions in digital, cloud, data, advanced computing and security, it brings deep expertise for all industries in more than 47 countries. By uniting unique high-end technologies across the full digital continuum with 47,000 world-class talents, Eviden expands the possibilities of data and technology, now and for generations to come. Your Day-to-day Responsibilities Include We require an experienced Lead Data Architect (over 7 years’ experience in the data arena) to support the delivery of Enterprise and Big Data Architectures with a focus on Analytics and Data Management applications. As a Lead Data Architect, you will be responsible for leading and the development of numerous data strategies which ensure data-driven decision-making. You will work closely with executive leadership, business units, and IT teams to develop and implement data solutions that align with the clients’ strategic goals. Responsibilities will include designing and overseeing implementation of data models, frameworks, and governance strategies to ensure data is accurate, secure, and accessible to authorised personnel. The role includes. Engaging with client enterprise architects and senior managers in developing data architecture strategy to support analytics platform transformation projects. Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps. Collaboration with cross-functional teams, including business leaders, data engineers, and data scientists. Client facing role working through requirements and delivering data architectures in required formats and using agreed data design/modelling tools. Definition of Conceptual, logical and physical data models, Data Flows (including streaming data) and Data Architectures to support Analytics, Data Warehouse and Data Migration requirements. Support pre-sales for Analytics and data management solution architectures! Design authority and delivery owner of data architecture and models for Analytics & Data Management Leading a small team of data modellers Map data from operational systems to Analytics systems (on-premises and cloud) Skills We Can’t Do Without Definition and promotion of data architecture products to support project and enterprise analytics strategies. Expertise in a minimum of one data modelling tool and modelling convention for instance Erwin, IBM Rational System Architect or Archimate An appreciation of end-to-end data architecture solutions including ingestion, storage and relational modelling leveraging industry standard languages including SQL and Python Strong leadership skills to lead and mentor a team of data architects and engineers. Excellent communication skills, both written and verbal, to effectively communicate with technical and non-technical stakeholders. Expertise in facilitating client workshops to gather client requirements and turn these into valuable data models. Be able to demonstrate an appreciation of the architecture, design and data related issues that affect the development of the different types of Data Warehouse, Lake, Lakehouse, and Analytics applications. Solid grasp across a range of relational and database technology, including Oracle and SQL Server Design and Delivery of data governance processes to support management of client data architectures. Skills We’d Like Experience in defining and building enterprise wide and platform conceptual, logical and physical models. Proficient in leading small teams of architects/data modellers Demonstrate a good understanding of data integration tools, metadata repository tools and their use. Appreciation and awareness of the latest concepts around Big Data and its application in Analytics architectures and solutions A good understanding of Master Data Management theory and application and the tools that support this. Architecture experience in Microsoft Cloud (incl. Azure PaaS and SaaS analytics tools) and exposure to Google Cloud Platform or AWS cloud. Experience of migrating/integrating data from on premise environments to Cloud Understanding of data security and privacy risks and the ability to implement appropriate measures. Knowledge of AI and ML techniques and their application to data-driven insights. Knowledge of data science methodologies and tools. Knowledge in data visualization tools (e.g., Tableau, Power BI) to create compelling data stories. Eligibility Nice to have SC clearance or individuals with Indefinite Leave to Remain (ILR) who have been residing in the UK for the last 5 years are eligible to apply. Willing to travel if needed for client location (London). We Care About Our Employees' Happiness By 25 days of Annual leave + an option to purchase more through our Flexible Benefits. Flex benefits system – an exciting opportunity to choose your own benefits. Retail discounts. Pension - matching contribution up to 10%. Private Medical Scheme. Life Assurance. Enrolment in our Share scheme - subject to scheme eligibility criteria. Unlimited opportunities to learn in our Training platforms. As a Disability Confident employer, we aim to ensure that people with disabilities who meet the minimum criteria for this position will be offered an interview. We are committed to making reasonable adjustments and changes as needed to the application and assessment process to remove or reduce any disadvantage associated with a person's disability. Let’s grow together.
- Company Name
- Paragon Alpha - Hedge Fund Talent Business
- Job Title
- Data Engineer - Credit Trading - Multi-Strat Hedge Fund - $400k
- Job Description
- I'm collaborating with a credit trading team, embedded within one of the worlds largest multi-manager hedge funds. To aid there seamless data driven ecosystem, they're looking for a Data Engineer to aid several PM teams. The firm have a huge data organization underpinning the trading lifecycle, and they place data analytics and data science teams embedded in the front office to enabled more data driven trades and investments. The role entails bringing on targeted data sets, pipelining these; and helping to wrangle and analyze the data, ready to assist in signal generation. Stack: Python, AWS, ETL, SQL The client are looking to speak to varied Data Engineers from trading backgrounds, with someone technically astute with Python and SQL as well as multiple asset classes. If you would like the chance to earn a market leading salary with the opportunity to work in a hybrid model in tandem; then please do apply.
- Company Name
- Oliver Bernard
- Job Title
- Data Analyst
- Job Description
- Junior Data Analyst – Clean Tech Start-Up A fast-growing clean energy start-up is looking for a Junior Data Analyst to support the development of innovative software for commercial real estate. You'll work closely with senior engineers, gaining hands-on experience in energy data analytics, software operation, and research projects. Key Responsibilities: Collect, clean, and structure energy data for proprietary software. Manage data flows and improve efficiency. Create data visualizations and insights for internal use. Support innovation and research projects in the UK and beyond. Key Skills & Experience: MSc in Data Analytics, Maths, or STEM. Knowledge of clean energy, UK energy markets, and CO2 trading. Experience with MySQL, Python, R, and GitHub. Data visualization skills (Tableau, Power BI, Qlik). Strong communication and problem-solving abilities. Bonus: Experience in real estate, large data frameworks (Hadoop/Spark), or exposure to ML/AI. This is an opportunity to be part of a mission-driven start-up, driving the clean energy transition in commercial real estate. Apply now to make an impact!