Data Analytics Engineer

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Data Analytics Engineer - Spark - London - £65KI'm looking for a Data Engineer with experience working to create new data pipelines using the latest technologies. My client specialise with the financial services industry working with clients to develop in house products.If you are looking for a role to develop your skills in Spark for data analytics with a long term view to more data engineering and developing data pipelines in Azure, this is a fantastic opportunity.Although main responsibilities are internally facing, you will be involved in some elements of working with clients.Role & ResponsibilitiesBe the technical expert with the latest technologies. Make recommendations to the wider business as to how to keep up to date with the best data solutions.Detailed Design, Coding, and Testing (Unit/CIT) of data pipelines within an existing product framework.Understanding and leveraging expert knowledge of Data Engineering and DataOps approaches and products.

Skills & QualificationsStrong technical expertise using SQL Server.A strong understanding of SQL Azure principals (Azure Data Factory).Understanding of Agile methodologies including use of GitExperience in programming languages (R, Python, etc.)Experience with Spark for data analytics.Knowledge of Machine Learning principles.Benefits£50,000 - £65,000Discretionary share options & profit sharing schemePrivate medical insurance with VitalityLong term disability & death in service insurancePension contribution of 6% with option to increase by a further 3%25 days holiday / year increasing by 1 day per year of service to a maximum of 30 daysTo apply for this role, please send an up to date CV to Jay Dixon [email protected] or call 0191 255 1427 for a catch up in complete confidence.Frank Group's Data Teams offer more opportunities across the UK than any other recruiter We're the proud sponsor and supporter of SQLBits, AWS RE:Invent, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group.