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.
What we offer:
- BDP Plus – A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.
- 25 days holiday + bank holidays.
- 5 days holiday buy/sell option.
- Discretionary Performance-based Bonus
- Private medical insurance.
- Life cover.
- Cycle to work scheme.
- Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).
- Employee assistance programme.
- Bespoke online learning via Udemy for Business.