251 to 275 of 5,953 SQL Jobs in the UK

Требования: 5+ Years of experience operating enterprise-scale, production-grade data platforms; Experience making architectural and prioritisation trade-offs across complex data ecosystems; Advanced SQL and analytical data modelling expertise; Experience building governed datasets for analytics, research, and decision-making; Strong background in modern analytics engineering, including dbt, testing, documentation ...

Development background with exposure to Data Warehousing at scale on both cloud and on-premise Experience developing ETL solutions in GCP including Python and SQL as well as SQL Server including SSIS & T-SQL Exposure to DW development practices (code & configuration management, build processes) Strong understanding of enterprise level data ...

innovative data-driven solutions that improve compliance, safety and business performance Skills Proven commercial experience in Data Science and Machine Learning Strong Python and SQL skills Experience with machine learning frameworks such as TensorFlow, PyTorch and Jupyter Notebooks Strong understanding of predictive modelling and machine learning techniques Experience with ...

intuitive for non-technical clients. Diverse Data Integration : Extract and transform data from a wide variety of client sources, including marketing platforms and custom SQL databases/Excel dumps. Data Modelling & DAX : Build robust, scalable relational data models within Power BI. Write advanced DAX formulas to create custom KPIs, time … leadership experience. Power BI Skills: Advanced proficiency in Power BI Desktop and Service, including Power Query (M), complex DAX, data modelling, and workspace administration. SQL & Database Skills: Strong SQL skills for querying and joining data from various relational databases. Client-Facing Skills: Excellent verbal and written communication skills. Ability ...

ability to think beyond routine approaches to solve technical problems. Design, develop, and maintain scalable data pipelines and processing workflows using Python, PySpark, SQL, and Databricks on AWS, processing and transforming large-scale financial datasets for analytics and reporting. Develop fact and dimension data models for reporting and analytics. Write … Code). Required qualifications, capabilities, and skills Proven experience in data management, ETL/ELT pipeline development, and large-scale data processing. Proficiency in SQL, Python, and PySpark, with experience in query optimization and performance tuning. Hands-on experience with data lake platforms (Databricks, Apache Spark, or similar). Experience ...

Understanding of data structures, data cleansing and data-governance principles. Ability to convert complex datasets into meaningful business insights and practical recommendations. Experience with SQL, Python, Power Automate or similar tools would be advantageous. Confident user of Microsoft Word and PowerPoint. Professional Skills Strong analytical and problem-solving ability. Excellent ...

Strong experience with Databricks- DLT, Delta Lake concepts, UC governance Solid understanding of streaming technologies (e.g., Spark Structured Streaming, Autoloader) Programming skills in Python, SQL, or Scala Proficiency in data modelling, ETL/ELT processes, and data architecture Experience in MS Copilot, AI Foundry , Databricks (MosiacAI, MLflow, Agentbricks, Genie) Strong ...

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 ...

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 ...

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 ...

ability to think beyond routine approaches to solve technical problems. Design, develop, and maintain scalable data pipelines and processing workflows using Python, PySpark, SQL, and Databricks on AWS, processing and transforming large-scale financial datasets for analytics and reporting. Develop fact and dimension data models for reporting and analytics. Write … Code). Required qualifications, capabilities, and skills Proven experience in data management, ETL/ELT pipeline development, and large-scale data processing. Proficiency in SQL, Python, and PySpark, with experience in query optimization and performance tuning. Hands-on experience with data lake platforms (Databricks, Apache Spark, or similar). Experience ...

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 ...

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 ...

measures are accurate. Good understanding of data models, data relationships, data ownership, authoritative sources and data-quality management. Experience of Power BI, Microsoft Fabric, SQL or another reporting and analytics tool. Good understanding of IT service management and how reliable configuration and service data supports Incident, Problem, Change, Asset ...

measures are accurate. Good understanding of data models, data relationships, data ownership, authoritative sources and data-quality management. Experience of Power BI, Microsoft Fabric, SQL or another reporting and analytics tool. Good understanding of IT service management and how reliable configuration and service data supports Incident, Problem, Change, Asset ...

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 ...