Senior Data Engineer
Cutting-edge products, remote-first role, world-class clients - Find Out More...
We usually respond within three days
As a Data Engineer/Data Scientist, your role will be to store, process, model and apply data science to make data and insights available for data analytics and business intelligence (BI) systems. You will need to be competent in data assessment and profiling, source system analysis and be able to provide a clear vision on how the data can be processed and interpreted to support the end use of the data.
The ideal person will come from a Data Analytics background (Data Engineer/Data Scientist/Data Analyst) with strong Software Engineering, ETL/ELT data pipeline experience and an interest in Machine Learning.
Key Skills - Mandatory:
- Strong data modelling and SQL/database design skills.
- Skill and knowledge of ETL/ELT processes
- Good programming skills – specifically those used in the application of data science, e.g. SQL, R, Python, JavaScript etc.
- Excellent numerical, analytical and statistics skills
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.
- Experience of Natural Language Processing.
- Knowledge/Experience using data science technologies including predictive and prescriptive modelling techniques
- Experience in visualising/presenting data and insights to stakeholders. Utilisation of BI tools such as Looker is a distinct advantage
- Ability to extrapolate the potential from the raw data in order to determine the ML models to implement and anticipate the resulting business benefits
Responsibilities:
- Analyse, organise and prepare raw data for modelling and data analytics
- Architect and help build data systems and pipelines
- Evaluate business needs and objectives
- Application of AI and ML techniques to solve business problems and produce saleable insights.
- Combine raw information from different sources
- Explore ways to enhance data quality and reliability
- Identify opportunities for data acquisition
- Participate in the development of analytical reports, including conducting analysis, applying data science techniques, summarising data and interpretation of results
Additional Skills:
- JIRA/Asana
- Requirements gathering and documentation skills
- AWS/Redshift/Snowflake experience
- Multiple BI tool experience
- HTML (for visuals in Looker)
- Knowledge of Fivetran, Matillion and other ETL/ELT tools
- Department
- Data Engineering
- Locations
- London Office, Oxford St
- Remote status
- Hybrid Remote
About BI:PROCSI
BI:PROCSI is a customer-focused, data-driven, highly experienced, and dedicated team of consultants delivering world-class solutions. We form strong partnerships with our customers across all sectors, ranging from high-profile start-ups to FTSE100 businesses, delivering impactful and business-critical data projects.
We leverage advanced AI and ML technologies to build products that help our customers optimise value from data. Our goal is to understand our clients' objectives and work with them to evaluate, develop, and deploy end-to-end data solutions across Business Intelligence, Analytics, Data Warehousing, Data Science, ETL/ELT, and more.
Our team of subject matter experts provides guidance throughout the entire data journey by collaborating closely with your existing teams. With PRINCE2 and Agile-certified project management, certified training, and enablement sessions, we ensure you have full control of a data solution that delivers tangible value to your business.
Senior Data Engineer
Cutting-edge products, remote-first role, world-class clients - Find Out More...
Loading application form
Already working at BI:PROCSI?
Let’s recruit together and find your next colleague.