5 of 5 Azure Synapse Analytics Jobs in Leeds

xperience and Education Required Approximately 10 years of industry experience implementing data integration tools such as Microsoft SSIS, Azure Data Factory, Databricks, Glue, Step Functions, Airflow, Apache Flume/Sqoop/Pig, and similar technologies. 3–5 years of team management experience. 3–5 years of consulting experience (preferred … frameworks. Experience using data modelling tools such as ERwin, ER/Studio, PowerDesigner, or similar. Experience with major database platforms, including SQL Server, Oracle, Azure Data Lake, Hadoop, Azure Synapse (SQL Data Warehouse), Snowflake, Redshift, and others. Strong experience with orchestration tools such as Azure Data ...

About Us At Oakland, we help businesses unlock the power of their data. Whether it’s data strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands‐on experts who love solving problems … work will span a diverse range of clients and problem spaces. At Oakland, we operate across Data Platforms, Data Management, Data Strategy, AI, and Analytics and Insight, so a strong understanding of these areas and how they come together in a cohesive architecture is important. You will design ...

architecture and implementation of scalable, reliable and high-quality data solutions. This includes overseeing data pipelines, data warehousing, integration patterns and analytics enablement, ensuring that data platforms are robust, secure and aligned to business outcomes. Acting as both a hands-on engineer and a technical leader, the Lead Data … quality forums Key Skills Strong experience designing and delivering scalable data engineering solutions Expertise in cloud-based data platforms such as AWS (Redshift, Glue), Azure (Data Factory, Synapse) or GCP (BigQuery, Dataflow) Advanced proficiency in SQL, including optimisation and performance tuning Strong experience with ETL/ELT pipelines ...

Contribute to the consultancy's technical communities and quality forums. Requirements: Proven experience designing and delivering scalable cloud based data engineering solutions. Expertise with Azure (Data Factory, Synapse), or AWS (Redshift, Glue) and GCP (BigQuery, Dataflow). Advanced SQL skills, including optimisation and performance tuning. Strong experience with ...

reporting, integration and technology teams What we’re looking for Strong data engineering experience in a cloud environment Experience with GCP, AWS or Azure Strong SQL and ideally Python Good understanding of data warehousing, data modelling and reporting/insight platforms Experience working with CI/… structured deployment processes An understanding of modern cloud data platforms and warehousing technologies such as BigQuery, Snowflake, Redshift, Synapse or Databricks Ability to work autonomously and prioritise your own workload Confidence working with non-technical stakeholders A pragmatic approach - able to balance best practice with commercial delivery ...