251 to 275 of 6,360 SQL Jobs in England

sales growth Power BI & Data Analytics • Design, develop, and maintain Power BI dashboards and reports • Extract, clean, and transform data from ERP systems, Excel, SQL databases, and other business systems. • Automate recurring reports to improve efficiency. • Provide actionable insights to support strategic decision-making. • Support users with report interpretation … manage multiple deadlines. • Proficiency with Microsoft Office applications. Desirable: • Experience with ERP systems (e.g. CIN7, SAP, Oracle, Microsoft Dynamics, Sage, or similar). • Basic SQL knowledge. • Understanding of inventory management principles. • Experience in manufacturing, healthcare, pharmaceutical, or medical device industries. • Knowledge of DAX and Power Query. • Familiarity with data modelling ...

sales growth Power BI & Data Analytics • Design, develop, and maintain Power BI dashboards and reports • Extract, clean, and transform data from ERP systems, Excel, SQL databases, and other business systems. • Automate recurring reports to improve efficiency. • Provide actionable insights to support strategic decision-making. • Support users with report interpretation … manage multiple deadlines. • Proficiency with Microsoft Office applications. Desirable: • Experience with ERP systems (e.g. CIN7, SAP, Oracle, Microsoft Dynamics, Sage, or similar). • Basic SQL knowledge. • Understanding of inventory management principles. • Experience in manufacturing, healthcare, pharmaceutical, or medical device industries. • Knowledge of DAX and Power Query. • Familiarity with data modelling ...

models. Experience with Power BI administration, workspace management, dataflows and deployment pipelines. Experience working with cloud and on‐premise data sources. Knowledge of Microsoft SQL Server, Azure Data Services and Azure Data Factory. Proven experience mentoring or technically leading BI Developers. Experience establishing development standards and governance processes. Strong stakeholder ...

including Scrum and SAFe. What you'll bring: Proven experience as a Data Engineer in secure government, defence, or intelligence settings. Strong Python and SQL development skills. Hands-on experience with data integration tools like Airflow, NiFi, Azure Data Factory, or AWS Glue. Expertise in Elasticsearch management, indexing, and query ...

Deep technical expertise with Apache Spark/Azure Databricks for distributed compute, memory optimization, and Delta Lake formats. Data Engineering Languages: Advanced proficiency in SQL (T-SQL, SparkSQL) and Python (PySpark). Security & Compliance: Direct experience implementing security controls for sensitive or identifiable data, utilizing Azure Key Vault, Azure Monitor … Analytics, and Microsoft Purview. Data Integration: Proven track record of migrating, refactoring, or connecting legacy SQL/stored procedure logic and existing pipelines into modern cloud formats. Preferred Qualifications & Certifications Certifications: Microsoft Certified: Azure Data Engineer Associate (DP-203) or Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) is highly ...

responsible for creating, monitoring, maintaining and optimising data pipelines within the TSW data ecosystem, primarily using Azure and the Adverity platform. This means writing SQL queries to generate bespoke reporting outputs, troubleshooting code issues, and implementing changes to futureproof the code. You’ll also collect information for new scopes, investigate … drive efficiency in our data team and across the business. This role is suited to someone with a strong background in Python, SQL and cloud services (Azure, GCP and AWS). A media agency or marketing data backgroundis essential for this role. Own delivery of new and existing ETL pipelines ...

minded approach to problem-solving Demonstrate strong stakeholder engagement, management and communication skills Lead analytical projects from idea through delivery and adoption Have advanced SQL skills and experience querying large datasets accurately and efficiently Have experience with cloud data platforms such as BigQuery, Google Cloud Platform or AWS Build dashboards ...

projects, including reviewing outputs from junior team members. Understanding of data manipulation, integration and visualisation tools such as Excel, Alteryx, Power BI, Tableau, SQL or Python. A passion for providing high quality service to clients. Ability to manage competing priorities and deliver high quality outputs under transaction timelines. Ideally … professional services environment. ACA, ACCA, CIMA or equivalent qualification. Experience leading client-facing discussions or presenting analytical findings to senior stakeholders. Experience using SQL, Python, R, VBA or other analytical languages. Experience developing dashboards, databooks, reconciled data models or analytical outputs that support commercial or transaction decisions. What we look ...

operational runbooks SKILLS Must have 5+ years of experience Hands-on experience building data pipelines on AWS (Glue, EMR, Lambda, Step Functions) Strong SQL and experience with data warehousing (Redshift, dimensional modeling) Proficiency in Python or Scala for data engineering Experience with S3-based data lake architecture (partitioning, cataloging, formats ...

legacy and modern stacks, experience of applying DevOps practices to data engineering as well as ability to build CI/CD pipelines Competent in SQL and at least one modern programming language, such as Python Understanding of key core concepts like distributed computing, batch & stream processing, functional and object‐orientated ...

project outcomes What You'll Bring 4+ years of data engineering experience, with at least 2 years hands-on across modern data platforms Strong SQL, data modelling, and query optimisation skills Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric Solid grounding in ETL/ELT pipelines and data ...

years of experience in data engineering, with a track record of building and maintaining production pipelines and dbt projects at scale Advanced SQL skills: CTEs, window functions, LATERAL joins, performance tuning, and complex multi-source financial queries Production dbt experience: modular models, tests, documentation, and semantic metadata for both ...

Lake or Delta Live Tables Data lakehouse and medallion architecture Advanced data modelling, including relational, dimensional, Data Vault or similar approaches Python, PySpark or SQL Building or improving cloud-based data platforms Large-scale data migration or platform-modernisation projects Batch, streaming or event-driven data integration Azure data services ...

technical judgement, making architectural and prioritisation trade-offs across complex data ecosystems, including scalability, cost, governance, and long-term sustainability considerations. Advanced expertise in SQL and analytical data modelling, with sustained experience building high-quality, well-governed datasets used broadly across analytics, research, and decision-making functions. Strong background ...

work independently, alongside a structured, detail-oriented, and outcome-focused approach Experience with Microsoft Fabric, lakehouse architectures, and hands‐on development using Python, SQL, or Spark would be advantageous, along with familiarity with integration technologies Knowledge of DevOps practices, Infrastructure as Code, data governance tools (e.g. Purview), Power BI, other ...

role. Minimum requirements 6+ years of full-time experience in Data Engineering, Analytics Engineering, Business Intelligence Engineering, or a related analytical role Proficiency in SQL, including complex query optimization and data modeling Proficiency in Python for data pipeline development, not just scripting Experience with distributed data frameworks like Spark ...

time and batch data at scale, and an understanding of the underlying data architecture (e.g. lakehouse, star schema). Ability to write and validate SQL queries, and to trace data flows end-to-end to ensure data quality. Awareness of how AI and machine learning capabilities are being applied within ...

/PySpark/Scala, Delta Lake, Unity Catalog, MLflow). Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent. Strong SQL and Python (or equivalent language) skills for data manipulation and automation. Hands-on experience with cloud platforms (AWS, Azure, GCP). Familiarity with Databricks Workflows ...

/PySpark/Scala, Delta Lake, Unity Catalog, MLflow). Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent. Strong SQL and Python (or equivalent language) skills for data manipulation and automation. Hands-on experience with cloud platforms (AWS, Azure, GCP). Familiarity with Databricks Workflows ...

insurance, annual bonus, plus other benefits. What to expect in the hiring process A preliminary phone call with the recruiter. Technical take-home task (SQL test). Technical Interview with hiring manager. A behavioural interview with the Head of Data Analytics/Science and Fraud Team. Moniepoint is an equal ...

graduate or postgraduate level in Data Science, Mathematics, Statistics, Economics or a related numerate discipline – or equivalent professional experience as a substitute Advantageous SQL and experience working with relational databases including direct interaction with SQL databases, views, queries and troubleshooting. Power BI or other data visualisation and dashboarding tools. Interest ...

/Power Automate. Knowledge representation, taxonomies/ontologies, and versioned/temporal data. Understanding of how data structures feed RAG and LLM retrieval quality. SQL proficiency; experience with orchestration tools (e.g., Airflow) and cloud data services. Familiarity with data governance, security, and privacy practices. Strong documentation and cross-team communication ...

communication skills, with the ability to present insights clearly to both technical and non-technical audiences. Some other highly valued skills include: Strong SQL and database experience. Knowledge of Python/PySpark and data analytics. Experience working in a Call Centre or Contact Centre environment. Strong communication and stakeholder management ...

Python applications and services. Strong experience in data engineering, including the design and development of scalable ETL/ELT pipelines. Proven experience working with SQL, relational databases and large datasets. Experience with data processing technologies such as PySpark, Spark or Pandas. Strong understanding of data quality, transformation and integration. Experience ...

communication skills, with the ability to present insights clearly to both technical and non-technical audiences. Some other highly valued skills include: Strong SQL and database experience. Knowledge of Python/PySpark and data analytics. Experience working in a Call Centre or Contact Centre environment. Strong communication and stakeholder management ...