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Data Platform Engineer (Contract position)
 
Title: Data Platform Engineer (Contract position)
Category: Accounting & Finance
Job type: Permanent
Job status: Full Time
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Description:
Smart is expanding it's Data Engineering team and we are now actively seeking a contractor to undertake a 6-month contract with us to undertake the following:

Build a data pipeline aggregating data from several sources (10+) (including application databases, google analytics, etc) to pull data into a data warehouse. Consideration must be given to external tools such as Alooma, Fivetran or Stitch in fulfilling this requirement. Budget is available for intelligent use of these services. You will work with our internal Data Science Manager, to construct an appropriate schema that enables our existing and near-future reporting needs. This should open doors for the future application of machine learning to help us make the right product decisions. Ensure the schema or transformation step is resilient to application database schema changes, or makes them easy to accommodate. You will grow and train an internal team at Smart to take over responsibility for the data platform. Smart was founded by experienced finance & technology professionals and has been designed specifically to support UK businesses faced with the challenges of auto enrolment. Our team spent over a year developing & testing the platform whilst also establishing the partnerships necessary to meet regulatory requirements and deliver a seamless end-to-end experience. With thousands of satisfied employers, advisers and employees now using the platform, we know we offer the best workplace pension solution currently available in the UK.

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Requirements

Evidence of building and maintaining effective data warehouses. Ability to understand when to self build, and when to use off-the-shelf services. Evidence of using data to drive key business decisions. Strong knowledge of data warehouse schema design; the ability to explain and implement appropriate schemas such as Star/Snowflake/Fact is a hard requirement. Experience with OLAP (Online Analytics Pipeline). Knowledge of database design & development in PostgreSQL, Redshift, or SQL Server. Serviceable programming knowledge in Python, Ruby, or an appropriate alternative. Experience working with Structured, Semi-Structured and Unstructured data. Helpful if you have:

Prior experience as a Data Scientist or Data Analyst. Experience in financial or compliance based environments. Experience with Apache Spark. Experience using configuration management tools like Ansible or Terraform to define infrastructure-as-code. Skilled at writing documentation for systems you’ve developed. Experience deploying triggers, views and stored procedures in a continuous manner to a data warehouse. Prior mentoring & training experience. Benefits

This role is a contracting role only.
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