13 of 13 Azure Synapse Analytics Jobs in Berkshire

tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting Applications for the role of Senior Principal Consultant – Azure AI Engineer/Lead In this role, we are seeking a highly skilled and passionate Azure AI Engineer/Lead to join … dynamic Cora Sequence team. In this role, you will be instrumental in designing, developing, deploying, and managing AI/ML solutions on the Microsoft Azure platform. You will work closely with data scientists, researchers, and product managers to translate complex analytical models into production-ready, scalable applications. Your expertise ...

Title: Azure Databricks Data Engineer Primary skills: Advanced SQL, Azure Databricks, Azure Data Factory, Azure Datalake. Secondary skills: Azure SQL, PySpark, Azure Synapse. Experience: 10+ Years of Experience Hybrid - 3 Days/Week onsite is MUST About the job We are looking … experienced Databricks Data Engineer to design, develop, and manage data pipelines using Azure services such as Databricks, Data Factory, and Datalake. The role involves building scalable ETL solutions, collaborating with cross-functional teams, and processing large volumes of data. You will work closely with business and technical teams ...

Knowledge: Experience within the insurance industry is required. Technologies & Tools Snowflake Data Cloud and related technologies (e.g., Fivetran, DBT, Dataiku, Collibra preferred). Microsoft Azure, including Azure Synapse and Azure DevOps. Microsoft SQL Server tools, including Master Data Services, SSIS, SSAS, and SSRS. Programming experience with ...

Principal Quality Engineering Lead | Data & Analytics | Azure | Financial Services | London (Hybrid) Eligibility: Only candidates with senior-level Banking and/or Financial Services experience and enterprise Data & Analytics platform exposure will be considered. Rate: £455 p/d Outside IR35 Required Sector Experience: Banking/Financial Services … Working Model: Hybrid – 2–3 days per week onsite in London Must-Have Expertise: Quality Engineering leadership, Data & Analytics testing, automation strategy, non-functional testing, Azure data platforms Strict Requirements – Please Read Before Applying - Only apply if you meet all the following: Familiar with NIST cybersecurity framework ...

Microsoft-exclusive Data & AI consultancy with deep expertise across the Microsoft data ecosystem. We help organizations solve challenges using data strategy, engineering, AI, analytics, visualization, and fully managed services. We're trusted by leading brands and organizations to design and deliver outcomes that focus on their customers, empower their … people, improve operations, and drive innovation. Our work has earned us multiple Microsoft Advanced Specializations — including AI & Machine Learning, Analytics, and Infra & Database Migration — as well as recognition as a Best Place to Work in both tech and career development. You'll join a supportive, high-performing team where ...

Microsoft-exclusive Data & AI consultancy with deep expertise across the Microsoft data ecosystem. We help organizations solve challenges using data strategy, engineering, AI, analytics, visualization, and fully managed services. We’re trusted by leading brands and organizations to design and deliver outcomes that focus on their customers, empower their … people, improve operations, and drive innovation. Our work has earned us multiple Microsoft Advanced Specializations — including AI & Machine Learning, Analytics, and Infra & Database Migration — as well as recognition as a Best Place to Work in both tech and career development. You’ll join a supportive, high-performing team where ...

similar role with a minimum of 2 years’ experience. Familiarity with data models, data mining, and segmentation techniques. Knowledge of SQL and Azure technologies. Strong analytical skills to interpret trends and patterns in data. Proficiency in database languages. Attention to detail and excellent organizational skills Technical Skills required Familiarity … with the building and deployment of ETL process through Azure Data Factory. Basic understanding of Azure Fabric and appropriate implementation. Familiarity with the management and use cases of Azure Data Lake Storage. Familiarity with the development of analytics Azure Synapse. Familiarity with Azure database ...

transform data capabilities. About the Role The successful candidate will play a key role in designing and implementing scalable data solutions using the Microsoft Azure Data Stack. You'll work closely with stakeholders to translate business requirements into robust technical architectures, ensuring best practices in data governance, security … performance. Key Responsibilities Design and optimise data pipelines and ETL processes using Azure Data Factory and Databricks. Develop and maintain data models, transformations, and integrations across multiple systems. Collaborate with client teams to deliver high-quality, timely solutions. Mentor junior engineers and contribute to architectural decisions. Implement best practices ...

into their pricing platform. In a nutshell, you'll own the data engineering function and collaborate to improve and complete the migration onto their Azure environment, so that Pricing and Data Science can maximise their output. So let's talk technical skills. To be successful in this role … will need: SQL Python (Advanced) Azure stack (Synapse, Databricks, ADF) ETL pipelines Some knowledge of Pricing/Actuarial as a business area and what they do This will be a hybrid role, working from their London Bridge office a few days per week. DATA ENGINEER - INSURANCE - LONDON HYBRID ...

performing internal capability. Travelling nationally to support client delivery when required. What you'll bring Strong experience in modern data engineering across cloud platforms (Azure, AWS or GCP). Hands-on skills in data pipelines, ETL/ELT, distributed processing, APIs and data architecture. Experience with modern tooling (Databricks … Spark, Synapse, Snowflake, BigQuery, Kafka etc.). Excellent client-facing skills with the ability to lead technical and strategic conversations. Consulting experience and confidence working in complex, evolving client environments. Strong understanding of how data engineering underpins analytics, ML and AI solutions. SC clearance or the ability ...

looking for a Senior Data Engineer to lead on projects, drive engineering excellence, and help shape innovative data solutions across cloud platforms like AWS, Azure, and GCP. Join a high performing team that partners with enterprise clients across sectors to deliver cutting edge data projects. This is a hybrid … ensure alignment between business goals and technical delivery. What You'll Bring 5+ years in data engineering with proven delivery in cloud platforms (AWS, Azure, or GCP). Expertise in Snowflake development and optimisation. Strong skills in Python and SQL for ELT/ETL and transformation workflows. Experience with ...

with long-term objectives. In this Senior Data Engineering role, you'll design, develop, and maintain data platforms using technologies such as Snowflake, Databricks, Synapse/Fabric, and PySpark, ensuring the scalability, security, and performance of all data systems. As the Senior Data Engineer your role will … reliable data processing. Key Responsibilities of the Senior Data Engineer: Solid grasp of modern data engineering concepts and workflows. Strong Databricks experience Familiarity with Azure and related DevOps tools. Strong Python programming capability. Knowledge of data orchestration, pipeline development, and data modelling. Background in connecting data platforms with visualisation ...

Lead strategic data engagements: Assess maturity, define target-state architectures, and craft actionable roadmaps. Own architecture vision: Design scalable, AI-ready data platforms across Azure, AWS, and GCP. Bridge strategy and execution: Translate conceptual designs into cloud-native, compliant, and high-performing solutions. Advise senior leaders … cloud-based data architectures (lakehouse, data mesh/fabric, MDM). Experience leading data platform modernization initiatives. Familiarity with tools like Snowflake, Databricks, Synapse, Collibra, Informatica, Kafka. Architecture certifications (TOGAF, cloud architect) are a plus. Why Join Us Competitive salary + bonus Private healthcare, life assurance, income protection ...