Data Engineer

Full Time Ipswich Suffolk IT Job Pro UK

Data Engineer x2 – Fully Remote – required by a passionate, technology-led business, which has enjoyed 70% growth year-on-year, employs c150 people and was recently voted Sunday Times – Top 100 small companies to work for.
Required Skills / Experience 

SQL Tuning / Explain Plans
Unix Scripting / Bash Scripting
Experience as a data warehouse developer / data engineer
Experience of data warehousing and building ETL solutions
Able to design and implement data processing solutions with support from technical lead
Knowledge of data security and privacy regulation and best practiceProgression

This role offers the opportunity to transition to a Python / AWS environment (you do not need these skills now), as during the first 12 months you will predominantly work on the existing data platform (Postgres / Unix / SQL), thereafter you will transition to new AWS cloud-based data platform involving AWS Redshift, AWS Athena, AWS S3, AWS Spectrum and AWS Lambda and working with Python.

The role
Working with a complex, global dataset you will join an existing Data Engineering team supporting and developing data processing solutions with the existing data platform and developing the new AWS cloud-based data platform in due course.
Salary and Remuneration 

Basic Salary range £45,000 to £55,000 dependent on experience
10% annual bonus subject to company performance
Free boot-camp training, Paid Leave for volunteering, Staff Discount scheme, Personal Development budget, mindfulness sessions
26 days holidays
Paid maternity leave / paternity leave, shared parental leave, Parents support club
Free week’s holiday when you get married (to enjoy your honeymoon)
Your choice of Mac OR PC for remote working (role is fully remote and remains so after the pandemic)This Data Engineer vacancy is being handled by Langham Recruitment Ltd. Langham Recruitment Ltd acts as an employment agency and is registered in England and Wales (reg (phone number removed)).
Key words PostgreSQL, Unix, Bash, Scripting, Data Warehouse, ETL, Big Data, Data Engineer, Python, SQL, Data Lake, Fully Remote, Work from home, Remote Working

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