At a Glance
- Tasks: Drive data analysis and engineering to transform raw data into strategic insights.
- Company: Fast-growing consultancy specialising in data, AI, and advanced analytics.
- Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
- Other info: Exciting projects across the UK and Europe with excellent career advancement potential.
- Why this job: Join a dynamic team and make a real impact in the financial sector.
- Qualifications: Experience in data engineering, analytics, and strong stakeholder management skills.
The predicted salary is between 90000 - 100000 £ per year.
Senior Data Engineer / Data Analyst
Location: hybrid 3 days per week onsite in either London or Sheffield (can be negotiated to 2 days per week for exceptional candidates in exceptional circumstances)
- Remuneration: either £450/day INSIDE IR35, or £90-£100k permanent employed
- Description
Our client is a fast-growing international consultancy specialising in data, AI and advanced analytics for major financial institutions.
With programmes running across the UK and Europe, they are expanding their team to support large-scale data science and modelling initiatives
This is a Senior Data Scientist/Analyst role within their global banking client’s developer experience team, supporting a new organisation-wide analysis initiative.
This role sits at the intersection of data engineering and analytics, and requires strong, critical data processing and presentation skills to translate raw, ambiguous data into insights that directly drive strategic decisions across the organisation.
Essential Requirements
- Stakeholder Management & Analysis
- Drive organisation-wide analysis, autonomously conducting gap analyses and translating ambiguous business needs into clear technical roadmaps.
- Manage expectations directly with users and data owners, keeping delivery aligned to business priorities.
- Data Engineering
- Architect, build, and scale robust data pipelines using Python and SQL across platforms such as Big Query and Postgre SQL.
- Work within established team standards for data extraction, complex aggregation, and resilient exception management, contributing to their ongoing improvement.
- Statistical Analysis & Quality
- Apply advanced, critical quantitative methods (Pandas, Num Py) to process raw data and derive actionable insights.
- Implement automated frameworks to ensure enterprise-grade data quality and continuous validation.
- Strategic Reporting
- Design high-impact visualisation dashboards using Looker Studio.
- Go beyond basic reporting to translate raw statistical findings into insights that clearly drive strategic business decisions.
- Engineering Excellence & Delivery
- Developer Experience & DORA metrics: A working knowledge of DORA metrics (Lead Time to Deploy, Release Frequency) will be nice.
Knowledge of Development Practices/Pipeline/Methodologies will be needed.
- Nice to Have
- Knowledge of workflow toolkits such as Apache Airflow, Dagster, or similar.
- Active use of modern LLMs (Claude, Git Hub Copilot) to accelerate development and pioneer AI-assisted coding practices within the team.
- Version control: Enforce version control best practices (Git/Git Hub), lead code reviews, and integrate pipelines into CI/CD workflows.
- Cloud architecture: Prior experience deploying, optimising, working with cloud environments.
- #J-18808-Ljbffr
Senior Data Scientist employer: Lithe Consulting Ltd
As a leading manufacturer in advanced polymer-based processes, this company stands out as an excellent employer in Stone, UK, offering a supportive and collaborative work environment. Employees benefit from a strong culture of innovation and quality, with ample opportunities for personal and professional growth, making it a rewarding place to build a career as a 7.5t driver.
