Permanent Sisense Jobs in the UK

2 of 2 Permanent Sisense Jobs in the UK

Sisense Business Intelligence Developer

Milton Keynes, Buckinghamshire, England, United Kingdom
Hybrid / WFH Options
Frossell Recruitment
Sisense Business Intelligence Developer – Milton Keynes or Basingstoke HybridAre you passionate about transforming data into actionable insights? Do you thrive in a fast-paced, innovative environment where data drives decision-making? We're looking for a Business Intelligence Developer to join a forward-thinking team supporting both internal and external stakeholders with impactful BI solutions. What You'll Be Doing … Design, develop and maintain intuitive dashboards and reports using Sisense and MS SQL Server. Integrate data from multiple sources to produce unified datasets for deep analysis. Collaborate with cross-functional teams to understand business needs and translate them into technical solutions. Ensure data integrity, compliance with GDPR and secure handling of sensitive information. Monitor and optimise BI systems to ensure … improve adoption and data literacy across the business. Work within an Agile delivery framework, continuously seeking ways to enhance BI platforms. What We’re Looking For: Strong experience with Sisense and SQL Server. Solid background in data modelling, dashboard/report design and working with large and complex datasets. Knowledge of data protection regulations and handling PII. Comfortable working with More ❯
Employment Type: Full-Time
Salary: £50,000 - £55,000 per annum
Posted:

Senior Data Engineer I

Oxford, Oxfordshire, United Kingdom
Hybrid / WFH Options
Elsevier
to ensure our systems are trusted, reliable and available.The technology underpinning these capabilities includes industry leading data and analytics products such as Snowflake, Astronomer/Airflow, Kubernetes , DBT, Tableau, Sisense , Collibra, and Kafka/Debezium . Our mission is to enable frictionless experiences for our AIS colleagues and customers so that they can openly and securely consume trustworthy data, enhancing … implementing necessary tooling and processes, and promoting DataOps through leadership and user feedback initiatives. Requirements: Deploy and govern modern data stack technologies (e.g., Snowflake, Airflow, DBT, Fivetran, Airbyte, Tableau, Sisense, AWS, GitHub, Terraform, Docker) at enterprise scale for data engineering workloads. Develop deployable, reusable ETL/ELT solutions using Python, advanced SQL, and Jinja for data pipelines and stored procedures. More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted: