• You’ll be able to help understand business requirements, and translate those into technical requirements, and work on stories for development in an agile manner.

• You’ll be ready to work with Engineering teams formed of our resources and client resources as a team, to guarantee successful outcomes for our clients.

• You will have the opportunity to explore new features and functionality across the various vendor products that we partner with, as we have a deep relationship with most of these vendors and work on their product pipelines.

• You will also have the opportunity as we grow to  develop and work towards other roles such as Senior Data Engineering or Architecture. Also work on R&D projects for “product” based work will be there  to help with, when we’re not performing client work, as we look to develop SAAS products and also our own enabling technologies.

• You will work with various stakeholders from teams across clients we work at, including engineering, architecture, Senior Manager and CxO level personnel.

• You will work with External parties that work with our client, such as our partners, or other consultancies that may be working with the client.

• Above all, you are a technical expert who will be contribute to excellent quality and value for our clients. Our Data Engineers are a trusted source of information and development parterning. You will use your experience in different situations and with different products, to assess the needs of the business that are appropriate for them.

• Delivering informed opinions and approaches should, at all times be backed-up by your provable known knowledge and researched where at all possible to ensure that the advice can be acted on.

As a Data Engineer, you are expected to understand and be well versed in various technologies and products which support a clients’ data landscape. The following non-exhaustive list features some key skills which you are required to have and the approximate minimal level:

• Ability to work in iterative environments and understanding of tech-debt (highly proficient)

• SQL (expert)

• Snowflake (preferably SnowPro Core certified or above)

• Understanding of data management capabilities, from CDC through to visualisation (proficient)

• Understanding of Data Profiling and categorisation techniques (proficient)

• Data Architecture (eg. DAMA) (proficient)

• Modern Programming Languages Experience, eg. Python (proficient)

• Software Version Control Systems such as Github (proficient)

• Understanding and approach to modern software product release practices (proficient)

• Data Modelling (proficient)

• Master Data Management (MDM) (proficient)

• Understanding and application of data security – GDPR (proficient)

• Understanding and application of data security – PCI-DSS (proficient)

• Understanding of Data Privacy techniques and software alternatives

• Understanding of cloud technologies and Software as a Service, such as AWS, Azure, GCP, Snowflake etc (proficient)

• MS Office (highly proficient)

• As a Data Engineer, you are expected to understand and be well versed in various technologies and products which support a clients’ data landscape. The following non-exhaustive list features some key skills which you are required to have and the approximate minimal level:

• Ability to work in iterative environments and understanding of tech-debt (highly proficient)

• SQL (expert)

• Snowflake (preferably SnowPro Core certified or above)

• Understanding of data management capabilities, from CDC through to visualisation (highly proficient)

• Understanding of Data Profiling and categorisation techniques (highly proficient)

• Data Architecture (eg. DAMA) (expert)

• Modern Programming Languages Experience, eg. Python (proficient)

• Software Version Control Systems such as Github (proficient)

• Understanding and approach to modern software product release practices (proficient)

• Data Modelling (proficient)

• Master Data Management (MDM) (proficient)

• Understanding and application of data security – GDPR (proficient)

• Understanding and application of data security – PCI-DSS (proficient)

• Understanding of Data Privacy techniques and software alternatives

• Understanding of cloud technologies and Software as a Service, such as AWS, Azure, GCP, Snowflake etc (proficient)

• MS Office (highly proficient)