Senior Data Engineering Consultant

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.