151 to 175 of 3,816 SQL Jobs

formats, specifically Apache Iceberg , to enable interoperability, schema evolution, and high‐performance analytics across multiple engines. Programming: Expert‐level proficiency in Java , Python and SQL . Big Data & Orchestration: Hands‐on experience with Spark, Kafka, and orchestration tools like Apache Airflow, Dagster, or dbt. Data Modeling: Deep understanding of data ...

statutory reserving and a familiarity with principles related to market consistent embedded value Technical proficiency in the actuarial modeling software Prophet, Snowflake/SQL as a database solution, visualization tools such as Tableau or Power BI and automation software such as Python, VBA or R. Prior experience in actuarial valuation ...

deep technical delivery with strong stakeholder engagement, feature ownership, and mentorship responsibilities. Key Responsibilities Own complex end-to-end ETL pipelines using Python and SQL Design and develop data solutions across a cloud-based data lake using a layered (Bronze/Silver/Gold) architecture Build and maintain SQL objects … tools to accelerate development, improve quality, and enhance documentation Technology Environment Primary cloud platform: Microsoft Azure Core tools and services may include: Azure SQL Cloud data lake/analytics services (e.g. Synapse or equivalent) Data orchestration tools CI/CD and version control systems Familiarity with modern analytics platforms ...

actionable insights for senior stakeholders Define and track performance metrics and KPIs aligned to business objectives Work with large, complex datasets from multiple sources (SQL, APIs, data warehouses) Conduct deep-dive analysis to identify trends, risks, and opportunities Collaborate with business teams to understand reporting requirements and deliver solutions Ensure … Experience Proven experience as a Performance Analyst, Data Analyst, or similar role Advanced expertise in Microsoft Power BI (DAX, data modelling, dashboard design) Strong SQL skills and experience working with relational databases Experience with data visualisation best practices and storytelling with data Ability to engage and influence stakeholders ...

DevOps Engineer - FinTech - Newcastle (Tech stack: DevOps Engineer, PowerShell, C#, Java, Python, Ansible, Terraform, Docker, Kubernetes, Docker Swarm, ELK, Grafana, CI/CD, TeamCity, SQL Server, Windows, Linux, Programmer, Developer, Architect, DevOps Engineer) Our client is a cutting-edge FinTech company with a reputation for innovation and excellence. They design … solutions (e.g., ELK, Grafana, or similar). Proven track record in building and maintaining CI/CD pipelines, preferably with TeamCity. Experience working with SQL databases, particularly Microsoft SQL Server. Comfort managing both Windows and Linux environments. The ability to communicate clearly with colleagues and clients to resolve challenges ...

websites Supporting the development of new ecommerce websites and digital services Working with our in-house ecommerce platform using .NET, JavaScript, HTML, CSS, and SQL Collaborating closely with the Group Web Design Team to deliver new designs and functionality Testing, documenting, and resolving application and production issues Supporting suppliers … aligned to your strengths and interests. Skills, knowledge & experience Essential Strong experience with Microsoft .NET (including .NET Core, WebAPI, Kestrel) C# development experience Microsoft SQL Server and Entity Framework Core JavaScript/TypeScript , HTML and CSS Experience with Azure DevOps and Git Experience working with CI/CD pipelines (Azure ...

work across finance, HR and operations - making this an exceptional opportunity for someone with ambition to grow. What you'll do Design and maintain SQL-based data pipelines and Power BI dashboards giving real-time visibility of project costs, budgets and performance Analyse project cost data to identify risks, trends … with stakeholders to resolve them at source Document data models and definitions to ensure consistent, trustworthy insight across the organisation Skills & experience Essential: Strong SQL queries, joins, stored procedures Power BI report design, DAX, data modelling Genuine passion for data and its commercial value Clear communicator with non-technical stakeholders ...

experience. Strong experience working as a Data Engineer, preferably in a cloud-based environment. Experience with cloud-based data storage platforms, preferably Snowflake, Azure SQL Data Warehouse or AWS Redshift. Solid practical experience and understanding of DataVault and Kimball-style data warehousing methodologies. Proficient in SQL and data querying languages ...

fast-moving, often sensitive environments. What You'll Do Full-stack data delivery: Build and maintain end-to-end data solutions using Python, SQL, and modern data engineering practices, including ETL pipelines, data modelling, and analytics workflows Application development: Support development of user-facing tools and dashboards using modern frameworks … improvement practices What We're Looking For Background in consultancy or client-facing data engineering/analytics roles Strong hands-on experience with Python, SQL , and exposure to data engineering concepts (ETL, data modelling, pipelines) Experience with or ability to quickly pick up TypeScript/React/modern front ...

Data Platform Engineer (Senior/Manager) - Belfast (Hybrid) - GCP, Python, SQL, AI & Generative AI up to £65,000 Why this opportunity? Hiring at two levels into a growing AI & Data Engineering team within a globally established consulting organisation. This role suits either a Senior/Lead, who enjoys hands … wellbeing Key experience - what we're looking for Experience as a Platform Engineer, Data Engineer or AI Engineer Strong programming skills in Python and SQL Proven GCP platform engineering experience Experience building and maintaining scalable data pipelines Exposure to AI/ML frameworks (e.g. scikit-learn, TensorFlow, PyTorch, LangChain) Experience ...

role, you will have a passion for uncovering insights and making data-driven decisions. Your expertise lies in working with a range of tools (SQL, Python, Cloud) to extract, transform, and load data from various sources, seamlessly bridging the gap between back-end and front-end systems. You will … fast-paced retail/multi-site/FMCG space. Strong experience using modern data platforms and services (Fabric, Data Lake, Azure Data Factory, SQL (On-prem/Cloud) to build conformed and derived data models for the purpose of integrations, reporting, and analytics. Expertise with Microsoft Fabric Experience of devOps ...

mindset and a deep understanding of how to present data visualisations effectively to deliver actionable insights and be proficient in Power BI and Microsoft SQL Server. To succeed in this role, the candidate should have a wealth of experience in a similar position, demonstrating a proven track record of delivering … Experience as a BI Analyst, Data Analyst, Reporting Analyst or relateable role. Proven strong background in relational databases and data modelling. Demonstrable proficiency in SQL for data extraction, manipulation, and analysis. Strong experience with Microsoft Power BI, including designing and publishing shared datasets in Power BI Service. Demonstrated proficiency ...

teams, our customers and ultimately our patients. Youll lead the evolution of our analytics capability, working with a talented team who are skilled in SQL, Python and NHS datasets, and guiding them towards next generation approaches including cloud based data platforms, analytics products, dashboards and strong data governance. … Essential: Extensive experience working in data, analytics or information services, with a strong track record of delivering insight in complex organisations Advanced knowledge of SQL, Python and Power BI or equivalent tools Strong experience with Microsoft Azure or similar cloud environments Solid understanding of databases, data models, data structures ...

business teams Support AI and advanced analytics initiatives Requirements Degree in IT, Computer Science, Software Engineering, or related field (minimum 2:1 classification ) Strong SQL & Python Hands-on ETL/ELT experience (e.g., Matillion, Talend, Fivetran, ADF) Experience with Snowflake (AWS/Azure/GCP beneficial) Strong data modelling knowledge ...

experience building cloud-native, scalable, and secure backend solutions on Microsoft Azure Understanding of Azure services such as Azure functions, Azure App Services, Azure SQL, Service Bus Solid grasp of microservices architecture, distributed systems, and inter-service communication patterns Experience of API design principles and building performant REST APIs Understanding … development best practices – SOLID, unit testing and test driven development, mocking, code reviews, CI/CD practices Database and SQL knowledge Experience using AI-assisted development tools in a professional software engineering environment Ability to evaluate and improve AI-generated output, including identifying errors, insecure patterns and poor design choices ...

Collaborate with cross-functional teams to deliver data-driven solutions Support data modelling, governance, and quality initiatives What were looking for Experience with Python, SQL, Spark (and ideally Scala) Hands-on delivery of ML solutions in production Exposure to cloud platforms (AWS, Azure, or GCP) Understanding of DevOps, containers ...

platforms, and storage systems • Advanced Python skills with a focus on production-quality code • Solid understanding of ETL processes and best practices • Experience with SQL/NoSQL databases and big data tools (e.g. Spark, Pulsar) • Hands-on experience with cloud platforms (AWS, Azure, or GCP) • Experience developing and deploying data ...

platforms, and storage systems • Advanced Python skills with a focus on production-quality code • Solid understanding of ETL processes and best practices • Experience with SQL/NoSQL databases and big data tools (e.g. Spark, Pulsar) • Hands-on experience with cloud platforms (AWS, Azure, or GCP) • Experience developing and deploying data ...

platforms, and storage systems • Advanced Python skills with a focus on production-quality code • Solid understanding of ETL processes and best practices • Experience with SQL/NoSQL databases and big data tools (e.g. Spark, Pulsar) • Hands-on experience with cloud platforms (AWS, Azure, or GCP) • Experience developing and deploying data ...

Ability to prioritise and deliver in a fast-moving environment. Curious mindset with a strong interest in customer behaviour and business outcomes. Confidence using SQL (essential). Experience with Python (desirable). Exposure to BI tools such as Power BI (desirable). Understanding of analytical data models and reporting logic ...

Microsoft Office product suite, particularly Excel i.e. Pivot Tables and V-Lookups Knowledge of one or more of the following is advantageous: SQL, Python etc Highly advantageous if you have Power BI experience Clear, logical analytical approach to problem-solving Ability to investigate data, find trends, forecast performance and provide ...

into clear analytical approaches and actionable insight Communicate findings clearly to a wide range of technical and non-technical stakeholders Your Skills & Experience Strong SQL capability with experience working with large, complex datasets Background in product, commercial or customer analytics within a fast paced environment Experience using BI tools such ...

Microsoft Office product suite, particularly Excel i.e. Pivot Tables and V-Lookups Knowledge of one or more of the following is advantageous: SQL, Python etc Highly advantageous if you have Power BI experience Clear, logical analytical approach to problem-solving Ability to investigate data, find trends, forecast performance and provide ...

Strong experience operating as a Senior Analyst in a commercial or marketing focused environment Proven ownership of lifetime value modelling and revenue metrics Solid SQL capability with experience using Python and data visualisation tools such as Power BI or Tableau Comfortable working independently in a fast paced environment with competing ...

high-performing data solutions across the full data engineering lifecycle. Key Responsibilities • Design and develop scalable ETL/ELT pipelines using Databricks, Python, SQL, and Spark • Build and optimise Delta Lake architectures and data pipelines on AWS • Implement ingestion frameworks using Databricks Autoloader • Develop transformation workflows using Lakeflow/Delta ...