Data Engineer

Job Description

Our well known client is looking for a Data Engineer to join their large team. They are looking for a motivated individual who is excited by data and passionate about the end-to-end process of machine learning, model building and deployment. You will beworking to help the Data Scientists to get the most out of their data by building the best models you can. The team operates as a consultancy within the business and you will be approached by different parts of the business. This is a hybrid role and can bebased in either Bournemouth, London or Bristol and you will be required in the office 2 days per week.Requirements of the Data Engineer:Experience of data storage, manipulation and extraction tools including relational databases, unstructured / NoSQL data stores, ETL, query processing and other data pipeline processing infrastructure

• Familiarity with at least one language commonly used in Data Science domain, e.g. Python, R, SQL
• Knowledge and capability in DB / data storage tools / processes e.g. Oracle, SQL Server
• Familiarity with cloud computing platforms & concepts
• Familiarity with monitoring, backup and DR of data systems
• Familiarity with GDPR and other relevant legislation
• Degree level educated or above ideally in computer science, data science or other technical discipline
• Experience of working in a busy environment whilst maintaining a high degree of accuracy at all times and meeting tight deadlines
• Ability to proactively build and maintain relationships both externally and with customers throughout the company.

Preferred:

• Knowledge of ML model operationalisation technologies such as:
• Kubernetes
• Docker
• Python (incl. common ML packages & REST web services)
• Knowledge and capability in Microsoft Azure data & analytics PaaS technologies including some of the below:
• Azure Data Factory
• Azure Data Lake Store
• SQL Data Warehouse /Database PaaS
• Azure HDInsight / Hadoop
• Azure DataBricks
• Azure Machine Learning Services
• Knowledge of Microsoft Cognitive Services

Responsibilities of the Data Engineer:Your role will vary day to day, but here is a bit of what you can expect:

• To liaise with business SMEs to achieve a common understanding of the business challenge, their needs, data requirements and expected output
• To be responsible for the operationalisation of ML models, including establishing repeatable and maintainable best practices and patterns for development, testing and deployment.
• To be responsible for the development and maintenance of automated, repeatable processes for integrating data and providing it to analytics users in an appropriate format. To include documentation, testing aligned with agreed processes and standards.
• To work closely within a cross functional team to scope, develop, articulate progress and results including business case to progress further. (End to end - Technical to business use)
• Become one of a group of experts who can coach business SMEs as part of handover to ensure the capability continues to grow across the group
• Working on all aspects of the project as needed by the overall team
• Help formulate a longer term operating and support model for analytics.
• Actively championing analytics across all areas and levels of the business
• To be responsible for maintaining standards around the use and access to data, ensuring adherence to internal and external regulatory factors, standards, policies and procedures.
• Evaluates and provides feedback on future technologies and new releases / upgrade

Reward and Benefits

• Flexible working opportunities
• 30 days holiday, with the option to buy up to 2 additional days
• An excellent pension plan (please click here to read more about it)
• An annual bonus scheme based on company and personal performance
• Private medical insurance which you can upgrade to family cover
• Other flexible benefits including discounted retail vouchers and dental insurance

Keyskills :
DataETLData EngineerELT