Senior Data Engineering Consultant (Databricks)
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Job Description
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.
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Requirements
Department: Consulting
Experience Level: Not Applicable