Senior Data Engineering Consultant

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Your skills and attributes for success: Strong team player with the ability to work independently Excellent client‑facing and stakeholder engagement skills Proactive, self‑motivated, and adaptable Strong verbal, written, and presentation skills Ability to build effective internal and external relationships Strong influencing and negotiation skills Creative thinker with the ability to propose innovative solutions Passion for continuous learning and self‑development Leadership capability, either formally or through delivery ownership To qualify for this role, you must have: Multi-skilled experience in one or more of the following disciplines: Data Management, Data Engineering, Data Warehousing, Data Modelling, Data Quality, Data Integration, Data Analytics, Data Visualisation, Data Science and Business Intelligence. Confident in delivering solutions using Databricks & developing and optimising data pipelines using PySpark within Databricks environments. Proven experience building, publishing, and supporting dashboards and reports using Power BI Strong experience and programming skills in languages such as Python and SQL and the ability to write complex SQL queries. Project experience using one or more of the following technologies: Tableau, Power BI, Cloud, Azure, AWS, GCP, Snowflake) and their integration with Databricks. Experience with data ingestion, transformation, and quality control processes. Excellent problem-solving skills and the ability to think critically under pressure. Strong communication and interpersonal skills, with the ability to work effectively with clients and stakeholders. Experience of leading technical and/or project teams. A proactive awareness of industry standards, regulations, and developments. Project lifecycle experience, having played a leading role in the delivery of end-to-end projects, as well as a familiarity with different development methodologies and disciplines (e.g. Agile, Waterfall Scrum, DevOps, Testing). Experience of DevOps and infrastructure deployments (Azure and Databricks). Ideally, you'll also have: Delivery experience using the following technology: SAS (SAS EG, SAS DI, SAS Viya). Relational Databases and Data Warehousing concepts. Enterprise ETL tools such as Informatica, Talend, Datastage or Alteryx. Project experience using the any of the following technologies: Hadoop, Spark, Scala, Oracle, Pega, Salesforce. Cross and multi-platform experience. Financial services sector experience. Line management experience. Team building and leading. Mentoring/staff development experience. #TalanUK #LI-HB1 You must be: Willing to work on client sites, potentially for extended periods. Willing to travel for work purposes and be happy to stay away from home for extended periods. Eligible to work in the UK without restriction.

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