Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

A fantastic new opportunity has become available Data Engineer or Data Strategy Consultant

with one of our Financial One of the world's leading financial institutions, serving individuals, small- and middle-market businesses, large corporations, and governments with a full range of banking, investment management and other financial and risk management products and services based in Chester.

Role: Data Engineer or Data Strategy Consultant

Location: Bromley (3 days a week onsite)

Duration: 12 Months

Rate: Circa £600/Day

Experience and Skills required:

Strong proficiency in SQL and Python.
Experience with data warehousing and data lakehouse architectures.
Expertise in data modelling methodologies (3NF, dimensional, data vault) for enterprise-level data stores.
Hands-on experience with SQL and/or PL/SQL.
Strong understanding of data architecture concepts (data warehouse, data mart, ODS, ETL, reporting, analytics).
Familiarity with data governance and security best practices.
Ability to work independently and as part of a team.
Experience with data visualization tools (e.g., Tableau, Power BI).
Knowledge of machine learning and AI concepts.

Responsibilities:

Data Architecture and Strategy:

Develop and implement a comprehensive data strategy aligned with business objectives.
Design and architect robust data lakehouse solutions, including data ingestion, processing, storage, and retrieval.
Define data governance policies and standards to ensure data quality and security.Data Engineering:

Develop and maintain data pipelines using a variety of tools and technologies (e.g., Apache Spark, Kafka, Delta Lake).
Design and optimize data models for both analytical and operational workloads.
Implement data quality checks and monitoring mechanisms to ensure data accuracy and consistency.Data Modelling and Design:

Create effective data models (dimensional, star schema, snowflake) to support business intelligence and analytics.
Design and optimize database schemas for efficient data storage and retrieval.Data Science and Machine Learning:

Collaborate with data scientists to integrate machine learning models into data pipelines and applications.
Optimize data pipelines for machine learning workloads.Team Leadership and Collaboration:

Mentor and guide team members on data engineering best practices and technologies.
Collaborate with cross-functional teams (e.g., data analysts, business analysts, data scientists) to deliver data-driven solutions.

Candidates will ideally show evidence of the above in their CV to be considered.

Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly