Data Analyst Jobs in Sunderland

Data Engineer We're looking for an Data/ Analytics Engineer to join our client's high-performing Business Intelligence team, helping to build scalable, high-quality data solutions that power reporting, dashboards and self-service analytics across the business. Working closely with BI Developers and business stakeholders, you'll design and optimise ETL/ELT pipelines, develop curated data models, and translate business requirements into reliable backend data solutions. This is a fantastic opportunity for someone who enjoys solving complex data challenges and wants to work with modern cloud technologies in a collaborative, forward-thinking environment. What you'll be doing - Design, build and maintain scalable ETL/ELT pipelines that deliver reliable, high-quality data. - Develop curated, business-ready datasets that support reporting, dashboards and self-service analytics. - Optimise data models, SQL queries and pipeline performance to improve efficiency and scalability. - Implement data quality, monitoring and governance controls to ensure trusted, accurate data. - Work with business stakeholders to understand requirements and translate them into robust technical solutions. - Contribute to the continuous improvement of the data platform, exploring modern tooling and engineering best practices. What we're looking for - Strong SQL skills with experience building and optimising data models. - Experience designing and maintaining ETL/ELT pipelines. - Experience working with cloud data platforms (AWS preferred). - Exposure to data warehousing, data lakes and modern data architecture. - Python experience (including PySpark) is beneficial but not essential. - Exposure to BI platforms such as Power BI, Tableau or QuickSight, with an understanding of how backend data models support reporting and visualisation. - Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders. - A genuine interest in modern data engineering practices and emerging technologies. The Team You'll be joining a highly collaborative and engaging team within a business that genuinely invests in its people. Alongside working on modern data technologies, you'll have the opportunity to influence the evolution of the data platform, work closely with experienced BI professionals, and continue developing both your technical and professional skills in a supportive environment. Please note: This is a backend-focused Analytics Engineering role centred around SQL, data modelling and ETL/ELT development, no visualisation.

An exciting opportunity has arisen for a Data Engineer to join a growing data team and contribute to the development of a modern cloud-based data platform. You'll be responsible for developing scalable data pipelines, integrating multiple data sources, and delivering reliable datasets that support analytics, reporting, and operational decision-making across the organisation. Working alongside data engineers, BI specialists, and business stakeholders, you'll play a key role in the ongoing evolution of the company's Azure-based data estate. Key Responsibilities - Build and maintain ETL/ELT data pipelines - Integrate data from multiple systems and external providers - Develop scalable and reliable data models - Improve monitoring, testing, and platform performance - Support data quality and governance initiatives - Collaborate with BI teams to deliver trusted reporting datasets - Contribute to platform improvements and architectural decisions - Maintain documentation and data lineage records Essential Skills - Strong SQL development skills - Experience with Python or a similar programming language - Data engineering or data integration experience - Understanding of data modelling and ETL/ELT concepts - Experience implementing data validation and testing processes - Strong communication and stakeholder engagement skills Desirable Skills - Azure Data Factory - Databricks - Synapse Analytics - Microsoft Fabric - Azure SQL - Data Lake technologies - Experience within regulated sectors - Cloud-based data platform experience

We're recruiting exclusively for a Junior Data Engineer to join a growing organisation investing heavily in its cloud-based data platform. This is an excellent opportunity for a recent graduate or early-career professional looking to build a career in data engineering, working with modern Azure technologies and large-scale business data. You'll work alongside experienced data and BI professionals to develop and maintain data pipelines, integrate data from a variety of systems, and help deliver trusted, high-quality data for reporting and business decision-making. The role offers exposure to modern data engineering practices, cloud technologies, data modelling, and platform development, with plenty of opportunities for learning and progression. Key Responsibilities - Build and support ETL/ELT data pipelines using modern cloud technologies. - Assist with integrating and transforming data from multiple business systems. - Help maintain a scalable, secure, and reliable data platform. - Develop data quality checks, monitoring, and automated testing processes. - Work closely with BI and business teams to ensure data is accurate and accessible. - Document data processes, transformations, and technical solutions. - Contribute to the ongoing development of data architecture and best practices. Skills & Experience - Degree in Computer Science, Data Analytics, Engineering, Mathematics, or a related subject, or equivalent commercial experience. - Good SQL skills and experience with Python or another programming language. - Understanding of databases, data modelling, and ETL/ELT concepts. - Interest in cloud data technologies and modern data platforms. - Exposure to Azure, Microsoft Fabric, Databricks, Data Factory, or similar technologies would be advantageous. - Strong analytical, problem-solving, and communication skills. What's on Offer - Opportunity for graduates and junior-level candidates. - Structured learning and mentoring from experienced data professionals. - Hands-on experience with modern Azure data technologies. - Clear progression pathways within data engineering and cloud data platforms. - Hybrid working model, with remote working also considered for the right candidate. - Competitive salary and excellent long-term development opportunities.

BMC Recruitment Group are currently recruiting for a Temporary Data Entry Assistant for their client in Sunderland. Are you juggling childcare, studies or a better work life balance . If so, this temporary role may be ideal for you! You ll have experience within a busy office, processing invoices, having a keen eye for detail, reporting discrepancies and errors. You are comfortable dealing with telephone and email queries. Key Benefits: - Full time 37.5 hours a week - Flexible start/finish times - Hybrid working: Office - Monday, Tuesday and Wednesday, Homeworking Thursday and Friday. If you would prefer to work in the office everyday this is an option - No weekend working Responsibilities: - Monitoring and prioritising the accounts payable queue - Process transactions in the relevant software - Resolve queries and reduce invoices which are on hold - Process high volumes of claims invoices, expense claims, prepayments and petty cash claims - Flexible to cover other areas of Accounts Payable if required - General administration within the department