bring 3-4 years of experience in data engineering. Understanding of data warehousing principles, concepts, and best practices (e.g., ODS, data marts, data lakes, data vault, 3NF). Advanced SQL skills, including data transformation and profiling. Experience building scalable production ETL/ELT pipelines. 1-2 years of hands-on experience with Azure services such as Data Factory, Databricks, Synapse More ❯
contributing to the continuous development of their consulting offering and analytical capabilities as the company grows. Skills & Experience Python (incl. pandas, numpy, fastapi, dash/plotly) Database development: e.g. SQL, PostgreSQL, SQLAlchemy, data warehousing, ETL pipelines Cloud computing & DevOps: e.g. AWS (EC2, Lambda, S3), Docker, CI/CD, serverless architecture Frontend development: JavaScript/TypeScript, React, Dash, or similar frameworks More ❯
record in similar business stream Experiences within project management Experience using database platforms such as Oracle/MSSQL/MPP Database Knowledge of programming languages such as Java/SQL/VBA/Java Script/Shell Excellent analytical and problem solving abilities Good knowledge of IT industry Good customer service skills Proficient in Microsoft Office particularly in the use More ❯
great Grayce Analyst: 2:1 Undergraduate Degree: In a STEM field, with a solid academic basis in data analysis; MSc is a plus. Data Tools: Experience with Excel, R, SQL, or Python is essential. Experience with Tableau or Power BI is advantageous. Analytical Problem Solving: Ability to spot patterns, think creatively, and dissect complex issues. Soft Skills: Effective communication, planning More ❯
Word, SharePoint, and Teams. Experience with data warehousing, process automation, and machine learning tools and techniques. Familiarity with model-driven apps and related technologies (e.g. JavaScript). Knowledge of SQL, Python, R, GIS packages, statistics, and cloud platforms such as Azure or AWS. Strong written and verbal communication skills, with a highly collaborative, customer-focused approach. Quick learner with the More ❯
XML Processing. Experience developing Marklogic Entity Models and building Marklogic data hubs. Proficiency with Unix/Shell scripting. In-depth experience with Java and data processing, manipulation, or querying (SQL or NoSQL). Proficiency in common Agile practices, service-oriented environments, and development practices. Extensive experience in the software development lifecycle, particularly within DevOps toolsets and practices. Experience with software More ❯
data models. Proficient in Data Warehousing Design Methodologies (e.g., Kimball dimensional models) and Data Modelling tools (e.g., ER Studio). Strong Data Analysis skills and hands-on experience with SQL/Python for data interrogation. Working knowledge of Cloud-based data and analytics solutions (e.g., Microsoft Azure, Databricks, Informatica, PowerBI) and ETL/ELT technology (e.g., Informatica DEI). Proven More ❯
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Familiarity with microservices architecture and RESTful API design. Strong understanding of database technologies (SQL and NoSQL). Experience with Agile/Scrum methodologies. Soft Skills: Exceptional communication and interpersonal skills. Ability to inspire and motivate a team. Strong organizational and time management skills. Ability More ❯
Basingstoke, Hampshire, United Kingdom Hybrid / WFH Options
Automobile Association
data models. Proficient in Data Warehousing Design Methodologies (e.g., Kimball dimensional models) and Data Modelling tools (e.g., ER Studio). Strong Data Analysis skills and hands-on experience with SQL/Python for data interrogation. Working knowledge of Cloud-based data and analytics solutions (e.g., Microsoft Azure, Databricks, Informatica, PowerBI) and ETL/ELT technology (e.g., Informatica DEI). Proven More ❯
of data governance frameworks, regulatory compliance (e.g., GDPR, CCPA), and data security best practices. Proven experience in enterprise-level architecture design and implementation. Hands-on knowledge of database systems (SQL/NoSQL), ETL/ELT processes, and data modeling techniques. Exceptional leadership, communication, and stakeholder management skills. Ability to work in fast-paced, agile environments and balance long-term strategy More ❯
with industry experts to deliver solutions that make a real difference in the legal profession. We are seeking an experienced engineer with a strong background in .NET/C#, SQL, and cloud services development to deliver world-class software solutions to our customers, primarily focused in the area of information governance. The ideal candidate will have a proven track record More ❯
and to hierarchically structure information residing in the data under analysis. Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python), and from data visualisation (e.g. Tableau, PowerBI) to machine learning. Understanding data engineering solutions is a plus. Strong experience in MLOps, including More ❯
process and organisational skills with the ability to mobilise change Advanced knowledge of project/product management platforms (JIRA & Confluence strongly preferred) Advanced knowledge of common data-manipulation tools (SQL, Google Sheets) Advanced knowledge of data analytics platforms (Looker preferred) Experienced in both lean and agile methodologies (Scrum, Kanban) IIBA-CCBA certification preferred Basic proficiency in at least one of More ❯
Advanced proficiency in Python for data science and machine learning applications. Familiarity with cloud-based infrastructure, preferably Azure . Expertise with Data Warehousing/Data Lakes . Proficiency in SQL for data extraction and analysis. Strong experience with data visualization tools such as PowerBI and Tableau . Understanding Java is a plus. Desired Behaviors Independence : Ability to solve complex problems More ❯
STEM field. A solid academic basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are an essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are also keen to hear from More ❯
and techniques (e.g., spatial queries, coordinate systems, projections). Experience with geospatial analytics tools such as ArcGIS, QGIS, or similar platforms is a plus. Data Modeling & Querying: Experience with SQL and NoSQL databases, including spatial databases (PostGIS, MongoDB, Elasticsearch), for storing and querying geospatial and big data. Preferred Qualifications: Degree or higher in Computer Science, Geospatial Intelligence, Data Science, or More ❯
STEM field. A solid academic basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are an essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are also keen to hear from More ❯
Stroud, England, United Kingdom Hybrid / WFH Options
Ecotricity
to commission and incentive scheme processing. Ability to operate in an environment of change and ambiguity, setting clear direction and structure. Familiarity with tools such as Power BI, Tableau, SQL, Python or equivalent. Desirable: Experience in regulated industries or complex, multi-stakeholder B2B environments. About Us What's in it for you... Healthcare plan, life assurance and generous pension contribution More ❯
skills Essential Degree in Data Science, Computer Science, or related field; MBA or advanced degree considered; 2+ years of experience in a data analytics role, with demonstrated expertise in SQL and other data manipulation languages; and ability to interpret large volumes of data and communicate findings to both technical and non-technical stakeholders. Strong problem-solving and analytical thinking skills More ❯
Cambridgeshire, England, United Kingdom Hybrid / WFH Options
Reed
Data Analyst c. £45,000 per annum Bedford Based Hybrid Working Permanent Join us at the Money and Pensions Service (MaPS) as a Data Analyst where you will be supporting analytics workstreams by gathering requirements, conducting analysis, and assisting with More ❯
Oxfordshire, England, United Kingdom Hybrid / WFH Options
Reed
Data Analyst c. £45,000 per annum Bedford Based Hybrid Working Permanent Join us at the Money and Pensions Service (MaPS) as a Data Analyst where you will be supporting analytics workstreams by gathering requirements, conducting analysis, and assisting with More ❯
Leicestershire, England, United Kingdom Hybrid / WFH Options
Reed
Data Analyst c. £45,000 per annum Bedford Based Hybrid Working Permanent Join us at the Money and Pensions Service (MaPS) as a Data Analyst where you will be supporting analytics workstreams by gathering requirements, conducting analysis, and assisting with More ❯
Northamptonshire, England, United Kingdom Hybrid / WFH Options
Reed
Data Analyst c. £45,000 per annum Bedford Based Hybrid Working Permanent Join us at the Money and Pensions Service (MaPS) as a Data Analyst where you will be supporting analytics workstreams by gathering requirements, conducting analysis, and assisting with More ❯
