10 of 10 Permanent Collibra Jobs in the UK excluding London

Skills (nice to have but not essential): Recognised data or AI qualification (e.g. CDMC, DAMA, DCAM, ISACA). Familiarity with key data and AI platforms (Snowflake, Databricks, Microsoft Purview, Collibra, Informatica, AWS). Experience implementing and refining data/AI analytics tools to automate internal audit processes. Proficiency in analytics tools such as Alteryx, Tableau, Power BI, Databricks, Snowflake, SQL More ❯

Bonus points for: Knowledge of SAP, particularly data sets for customers, vendors and materials. Experience with data quality and profiling tools (e.g. SAP Information Steward, Talend, Informatica Data Quality, Collibra Data Quality, Trillium, Ataccama, etc.). Previous data migration experience. Previous consultancy or client-facing experience. WHAT WE OFFER Trust that you are proficient at what you do. At Syniti More ❯

Self-starter who thrives on managing multiple priorities Strong analytical and problem-solving skills Desirable: Exposure to Financial Services or Insurance Hands-on experience with Data Governance tools (eg, Collibra, Informatica, etc.) Understanding of data quality management and risk controls For a full consultation on this exciting new role, get in touch with ARC IT Recruitment today. More ❯

financial services or regulated environments is advantageous but not essential. Docker/Snowpark container services experience Streaming and related technologies such as Apache Kafka, Azure Event Hub Integration with Collibra Proficiency in Python Insight Investment is committed to being an inclusive employer and encourages applications from all suitably qualified applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion More ❯

stakeholders and steering committees. Experienced in change management. Driving adoption of governance practices and tools across the organisation. Experience of using and/or implementing data governance tools e.g. Collibra, Informatica DQ, Alation Awareness of FCA, GDPR, and ECB requirements impacting data governance. Experience In Financial Services An advocate of data literacy. Promoting understanding of data governance principles to non More ❯

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 everyday More ❯

capability and process taxonomies, maturity assessments and alignment of gaps to enabling technology solutions Appreciation/Experience in designing and governing data platform architectures (e.g. broad understanding of Informatica, Collibra, Ab Initio, Snowflake, Databricks) Appreciation of and interest in attaining end-to-end data skills e.g., data quality, metadata, data-mesh, data security, privacy & compliance Experience with Enterprise/platform More ❯

capability and process taxonomies, maturity assessments and alignment of gaps to enabling technology solutions Appreciation/Experience in designing and governing data platform architectures (e.g. broad understanding of Informatica, Collibra, Ab Initio, Snowflake, Databricks) Appreciation of and interest in attaining end-to-end data skills e.g., data quality, metadata, data-mesh, data security, privacy & compliance Experience with Enterprise/platform More ❯

behaviours. In addition, technical knowledge and experience in the following: Data Management frameworks, including Data risks and controls and understanding of Data Management tools (Cloud native or other) e.g. Collibra AI Governance Frameworks, laws and regulations (including intersection with data privacy laws and regulations) Understanding of emerging AI technologies and practices Technical skills might be demonstrated by professional qualification(s More ❯

optimize cloud-native data ecosystems that power analytics, governance, and business intelligence across the firm. You'll work with cutting-edge technologies like Azure Synapse, Databricks, Python, PySpark, and Collibra to deliver secure, high-performance solutions. What You'll Do Engineer and optimize modern data platforms using Azure and Databricks Build robust data pipelines with Python and PySpark Automate deployments … and infrastructure with DevOps and CI/CD Implement access controls and data protection policies Integrate governance tools like Collibra for metadata and lineage tracking Collaborate with cross-functional teams to enable data-driven decision-making What You'll Bring Proven experience in cloud-based data engineering (Azure, Databricks) Strong Python/PySpark skills and DevOps automation experience Familiarity with More ❯