126 to 150 of 6,998 Permanent SQL Jobs

Architecting and delivering modern data platforms leveraging Azure technologies including Azure Data Lake Storage Gen2, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Designing and developing robust ETL/ELT frameworks, data pipelines, Lakehouse architectures and real-time data solutions, ensuring engineering excellence and reusability … controls, data quality frameworks, lineage and metadata management practices across the Azure Data Platform Leading the migration and modernisation of legacy data warehouse and SQL Server environments, driving adoption of cloud-native Azure services and best-practice engineering approaches Providing technical leadership, mentorship and guidance to Data Engineers while championing ...

works. Experience with cloud platforms (e.g., AWS, Azure, GCP) and data lake architectures. Strong experience and programming skills in languages such as Python and SQL and the ability to write complex SQL queries. Use of GitHub and CI/CD practices. Support development of the Azure Databricks Lakehouse platform, shaping ...

software engineering practices including Git/GitHub, CI/CD, development environments, testing and release management . Strong hands‐on experience with Python and SQL . Experience working with modern cloud‐based data platforms across AWS, Azure and/or GCP . Experience with contemporary data engineering technologies and architectures. … ability to collaborate effectively with engineers, technical leads and wider stakeholders. Technical Environment Experience with some of the following technologies would be beneficial: Python SQL Cloud platforms – AWS, Azure or GCP Databricks Apache Spark/PySpark Kafka/event-driven architectures Airflow dbt Git/GitHub CI/CD Infrastructure ...

risk stratification, causal inference, scenario modelling and impact evaluation. Able to use software required to develop reports and analytical products, including Microsoft 365 applications, SQL, Power BI, and relevant statistical or analytical tools such as STATA, R and/or Python. Oversee technical quality standards for analytics, including data definitions … days a week (From April 2026), this may be in the ICB office, or in a partner location as required Use Microsoft 365, SQL, Azure-based analytical environments, Power BI where appropriate, and statistical software such as R, Python and/or STATA. Flexibility and evolving responsibilities ...

part of your duties, you will be responsible for: Design, build, and deploy scalable data pipelines using Azure Databricks , Azure Data Factory , and Azure SQL Database . Optimise Databricks environments for performance, cost, and security. Develop and maintain data integration , ETL/ELT processes, and data quality frameworks. Translate business … modelling skills (Dimensional, ODS, Data Vault) and experience with data warehousing concepts. Experience working with large, complex datasets and distributed computing environments. Proficiency in SQL , version control (e.g. Git), and CI/CD pipelines . Familiarity with Agile delivery and DevOps practices (Azure DevOps, JIRA, etc.). Preferred Skills & Experience ...

reporting, helping teams understand performance and make confident decisions. Using data to investigate business challenges, identify trends and uncover opportunities to improve performance. Writing SQL and using dbt to build and maintain robust data models. Taking ownership of analytical work from the initial business question through to recommendation, delivery … years’ experience in a Data Analyst or similar analytical role. Experience creating interactive dashboards using tools such as Power BI, Tableau or Qlik. Strong SQL skills. Experience with Python would be advantageous. Excellent Excel skills and good working knowledge of PowerPoint. A strong understanding of data modelling, including data grain ...

build and optimise data pipelines, transformation processes and data solutions using Microsoft Fabric. Develop and manage Lakehouse and Warehouse solutions using OneLake, Delta tables, SQL and PySpark. Deliver scalable and governed data solutions that support reporting, analytics and business intelligence requirements. Implement engineering best practices across data platforms, including testing … including Data Factory, Dataflows Gen2, Lakehouse and Warehouse solutions. Experience designing and developing ETL/ELT processes, enterprise data pipelines and transformation workflows. Strong SQL and Python skills, including experience with PySpark. Experience working with OneLake, Delta tables and modern cloud-based data platforms. Experience developing and supporting integrations using ...

with technical and non-technical stakeholders across Europe What we are looking for: - Previous experience as a BI Analyst, Data Analyst or similar - Strong SQL skills - Experience with data warehousing, reporting and data modelling - Knowledge of Qlik, Power BI or another BI platform - Experience with ETL, data integration or scripting ...

Principal Engineer or comparable senior technical leader. Advanced, hands-on Databricks experience in production environments, including lakehouse architecture, Delta Lake and relevant governance, workflow, SQL and optimisation capabilities. Proven ownership of modern data platforms or data products from architecture through production delivery and operation. Strong experience in data privacy … with batch and real-time integration, including APIs, CDC, streaming or event-driven pipelines. A strong data-engineering or software-development foundation using Python, SQL, Scala, Java and/or Spark. Deep experience with Azure data services. AWS experience is advantageous as the platform expands. Experience with governance, cataloguing, lineage ...

Science and Business Intelligence. Delivery experience using the following core technology: SAS (SAS EG, SAS DI, SAS Viya). An ability to write complex SQL queries. Project experience using one or more of the following technologies: Tableau, Python, Power BI, Cloud (Azure, AWS, GCP, Snowflake, Databricks). Project lifecycle experience ...

solutions. Требования: 5+ Years of hands‐on experience in data engineering, analytics engineering or data platform roles, including senior or leadership‐level work Advanced SQL and Python skills for building reliable, production‐ready data solutions Strong experience with cloud data warehouses, ideally BigQuery, and working knowledge of the wider Google ...

from platforms such as Pega and Adobe, as well as APIs and public sources, for analysis and visualisation in DOMO. Data Analytics & Visualisation: Advanced SQL proficiency and a strong understanding of visualisation best practices. Programming & Data Science: Hands‐on experience with Python or R for analytics, modelling, and automation. ...

facilitate knowledge sharing within the wider team. Required Skills & Qualifications 3+ years of hands‐on experience in a data engineering role Strong proficiency in SQL and Python Strong experience with AWS (Batch, Lambda, Glue, ECR, RDS, Redshift, S3) Experience in data warehousing, database design (e.g., star schema, snowflake schema ...

implementing Microsoft Fabric architectures for enterprise clients. Strong consulting values with the ability to interface effectively with senior stakeholders. Hands-on experience with SQL, ETL/ELT pipelines, and BI/analytics tools. Deep understanding of the data lifecycle (ingestion, storage, processing, governance, consumption).Ability to link business objectives with ...

solutions. Your responsibilities Design, develop and implement data pipelines to perform (ETL) from multiple sources into Azure Services. Proficiency in programming languages (e.g., Python, SQL, PySpark etc.) and data manipulation tools. Knowledge of DevOps tools Manage and monitor the health of data integration processes, troubleshooting Experience in Data Migrations (Perform ...

solutions in agile environments, with senior-level autonomy on complex builds. Advanced Power BI capability (semantic modelling, DAX, dataflows) and data-visualisation expertise. Strong SQL and data modelling skills, building scalable and performant solutions. Experience with modern data platforms (Databricks lakehouse, Azure cloud data ecosystem).Ability to build trusted, well ...

communication skills and stakeholder management skills, with the ability to present complex findings clearly and effectively to both technical and non-technical audiences.* Strong SQL skills, with experience extracting, manipulating, and analysing large and complex datasets.* Strong problem-solving skills with a natural curiosity to explore data, challenge assumptions ...

responsibility Strong hands‐on experience with Microsoft Fabric Deep understanding of: Modern data lakehouse architectures Dimensional and analytical data modelling Data pipeline orchestration Strong SQL skills and experience with distributed data processing Experience designing enterprise-scale analytics platforms in Azure Ability to translate business requirements into robust technical solutions ...

articulate results clearly to both technical and non-technical senior stakeholders. Stack Proficient: You have experience working with a modern analytics stack, including SQL, GitHub, Python, BI tooling (e.g., Tableau), and native cloud services like AWS or GCP.What will set you apart: Orchestration Mastery: Deep experience with data orchestration tooling ...

delivering data engineering solutions, including distributed systems, event-driven architectures, and large-scale data processing (batch and streaming). Strong Python skills and solid SQL across BigQuery or equivalent cloud data warehouses; familiarity with Scala or Java is a plus. Deep expertise in data pipeline design: batch vs. streaming ...

Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage/ADLS Gen2, Microsoft Fabric (OneLake, Workspaces, Capacity), Azure Synapse and/or SQL, and Azure Data Factory.* Excellent problem-solving and analytical skills and strong communication and teamwork skills.* Passion for data and a thirst for learning; either ...

technology‐based products Experience working with technical architecture and owning technical writing Experience in data analysis, data modelling, and data visualisation tools (e.g. SQL, Excel, Tableau, PowerBI etc.) Willingness to work with database schemas and perform data manipulation tasks such as cleaning, transformation and aggregation Ability to facilitate ...

Modern data platforms: Databricks, Snowflake and cloud‐native data services Data architecture: Lakehouse, medallion, data mesh and domain‐oriented patterns Data processing: Apache Spark, SQL and distributed processing technologies Data storage: Delta Lake, Apache Iceberg and open table formats Data pipelines: Enterprise‐scale ETL/ELT, batch and streaming patterns ...

Modern data platforms: Databricks, Snowflake and cloud-native data services Data architecture: Lakehouse, medallion, data mesh and domain-oriented patterns Data processing: Apache Spark, SQL and distributed processing technologies Data storage: Delta Lake, Apache Iceberg and open table formats Data pipelines: Enterprise-scale ETL/ELT, batch and streaming patterns ...

driving innovation. As a technology‐agnostic consultancy, we empower you to design the right data solutions for each challenge. With technologies spanning Python, SQL, cloud‐native data services, streaming platforms, and modern data tooling across AWS, Azure and GCP, you’ll have opportunities to deepen your expertise, explore new approaches ...