Senior Data Engineer

Job Reference:

£80,000 - £90,000

Senior Data Engineer – North London 
Are you an experienced client-facing Data Engineer looking for a new challenge? Do you want to work for a solutions provider with a range of exciting greenfield projects? Are you looking for exposure to bleeding edge technologies such as Snowflake?
An analytics house based in central London is actively seeking a Data Engineer to join a team responsible for a number of business-critical projects dealing with a range of technical solutions.
Our client is a dynamic technology company that is focused on business analytics and planning. They take an innovative approach to making complex solutions simple so their clients can focus on running their businesses. Their services and applications enable clients to gain the benefits of world-class analytics and planning capability without the headaches.
What we can offer
·A competitive basic salary (80-90k) with regular salary reviews
·An annual bonus of 10% of basic salary
·Flexible working hours
·The option of homeworking
·industry certifications (Snowflake for example)
Role Summary:

The successful candidate will:
·Be involved with a range of client projects and in handling vast amounts of data
·Work on database design and development, data integration and ingestion, designing ELT / ETL architectures using a variety of tools and techniques.
·Play a key role on projects from a data engineering perspective, working with clients to model the data landscape, obtain data extracts and define secure data exchange approaches
·Plan and execute secure, good practice data integration strategies and approaches
·Acquire, ingest, and process data from multiple sources and systems into data platforms
·Create and manage data environments in the Cloud (AWS/Azure)
·Collaborate with business analysts and data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models
·Have a strong understanding of Information Security principles to ensure compliant handling and management of client data
·Experience on client-facing projects, including working in close-knit teams
·Strong development background with experience in at least two scripting, object oriented or functional programming language, etc. SQL, Python
·Experience working on projects within the cloud ideally AWS or Azure but will cosnider GCP
·Experience and desire to work with open source and branded open source frameworks
·Experience working on lively projects and a consulting setting, often working on different and multiple projects at the same time
·Data Warehousing experience, building operational ETL / ELT data pipelines across a number of sources, and constructing relational and dimensional data models
·Excellent interpersonal skills when interacting with clients in a clear, timely, and professional manner.
·A deep personal motivation to always produce outstanding work for your clients and colleagues
·Excel in team collaboration and working with others from diverse skill-sets and backgrounds
Data Engineer / Data Consultant / Big Data Engineer / Data Architect / Big Data Consultant / SQL / Python / Spark / Data Scientist
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