Senior Data Engineer
Cutting-edge products, remote-first role, world-class clients - Find Out More...
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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
- Canary Wharf WeWork Office
- Remote status
- Hybrid Remote
About BI:PROCSI
Why BI:PROCSI?
We started this company with a goal — a goal to be the very best. We don’t just believe it; we know our team is our biggest asset. We’re a group of passionate innovators (*nerds), obsessed with personal growth, that believes in challenging the status quo to ensure we come up with the best solutions.
We have a phenomenal culture, unparalleled drive, and every single person in our team is very carefully selected to make sure we maintain this. We are diverse, and we celebrate that. We are whole people, with families, hobbies and lives outside of work and make sure we have a healthy work-life balance.
BI:PROCSI is actively committed to encouraging equality, diversity and inclusion throughout our workforce. Our aim here at BI:PROCSI is to represent all selections of society and for each member of the team here at BI:PROCSI to feel respected in a balanced working environment to be able to give their very best.
Senior Data Engineer
Cutting-edge products, remote-first role, world-class clients - Find Out More...
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