Data Platform Engineer

Amplius
Cambridge, UK
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£55,000.0
Working hours
Regular working hours

Tech stack

Clean Code Principles Artificial Intelligence Amazon Web Services Microsoft Azure Big Data Code Review Databases Continuous Integration Data as a Services Data Validation Data Governance Data Infrastructure
+17 more
Extract Transform Load (ETL) Data Structures Python (Programming Language) Metadata Operational Data Store Scala (Programming Language) Software Engineering SQL Databases Azure Data Factory Git Information Technology Data Lineage Data Management Azure Synapse Analytics Data Pipelines Databricks Programming Languages

Job description

Job DescriptionData Platform Engineer Hybrid - Milton Keynes, Rushden, Peterborough or Boston£55,000 per yearPermanent, Full time Are you experienced in building reliable data platforms? Join Amplius as a Data Platform Engineer and help us to build secure, scalable data pipelines that turn operational data into trusted datasets for reporting, analytics and responsible AI. Your week: 36.25 hours - Monday to Friday 9am to 5.15pm Location: Hybrid - weekly office presence in Milton Keynes, Rushden, Peterborough or Boston. Snapshot of your role Design, build and operate secure, reliable and cost-effective data pipelines using Azure services and Databricks. Ingest and transform data from different sources, handling changes in data and schemas effectively. Improve pipeline performance, reliability and cost, while automating tasks and maintaining clear technical documentation. Build data quality checks, validation and reconciliation, and contribute to metadata, data lineage and governance

Requirements

requirements. Use Git, code reviews, CI/CD and Infrastructure-as-Code to deliver safe, repeatable changes, supported by effective monitoring, runbooks and deployment evidence. Work closely with Data Product Engineers, BI & Reporting, IT Solution Architects, Data Governance, Cyber and DPO teams to deliver secure, well-governed data services and support priority datasets. What you’ll need to thrive in this role A degree or equivalent experience in Computer Science, Data/Software Engineering or a similar subject, with a strong foundation in core database systems and data structures. Proficiency in Databricks and big data coding languages, including SQL, Python and Scala. Experience designing and deploying ETL/ELT pipelines using Azure Data Factory, Azure Synapse Analytics or equivalent tools in AWS/GCP. Strong engineering skills, with the ability to write clean, maintainable code, and test and document your work effectively. Strong communication and collaboration skills, with the ability to explain technical trade-offs clearly and work effectively across teams and departments. Right to work in the UK is an essential requirement - we do not provide sponsorship. Please read the attached Job Description before applying so you get the full scope of the role. Closing: 7 OctoberAssessment: 8 OctoberInterviews in Peterborough: 20 October If your application is shortlisted, you will be invited to showcase your skills through an online assessment. You will have 5 days to complete the assessment, from 8 to 13 October. A note on the use of AI - We understand you may choose to use AI when preparing your CV or application. However, AI must not be used during the assessment stage or interview. The assessments are designed to evaluate your own technical skills and knowledge, so if we identify that AI has been used, you will not be progressed. Please only apply if you can demonstrate the skills and experience you have told us about. We reserve the right to close the vacancy early in response to an overwhelming number of applications or a change in business priorities.JBRP1_UKTJ

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