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Data Engineer

4 months ago

Southampton, United Kingdom Haystack Full time

About the role


Contract duration: 3 - 6 months (potential to become rolling)

Rate: £600/day inside IR35


Our client is currently working on several end-client programmes, for several Government technical Consultancies to support various public body Government Data Engineering departments as part of their respective cloud migration strategies.


The Data Platform Engineer will be assigned to one (perhaps more depending on project timelines) of our client's data engineering projects based on data engineering and technical skills.


The successful candidate will fulfil the following responsibilities:


  • Requirements analysis and design of solutions for the data platform;
  • Integration and analysis of solutions;
  • Understanding of toolsets including AWS hosted databases (Postgres, S3 based data lake, AWS glue MySQL, Athena);
  • Integration services (AWS API gateway, lambda functions), nice to have MuleSoft or Axway;
  • ETL services (AWS Glue, Step functions);
  • Infrastructure a management tool such as Terraform and extensive use of SQLs, Python, and Node JS.


The data engineering services within our client's team fulfil hands-on data development to construct complete solution designs and complex application requirements across platforms and data sources including:


Data Architecture and Design:

  • Design and implement scalable and efficient data pipelines, databases, and data warehouses;
  • Collaborate with data visualisation and analysts’ teams to understand data requirements and translate them into technical specifications.


Data Processing:

  • Develop and maintain ETL (Extract, Transform, Load) processes for ingesting data from various sources into the data infrastructure;
  • Optimise data processing and storage for performance and cost-effectiveness.


Database Management:

  • Manage and maintain databases, ensuring data integrity, security, and availability;
  • Implement database schema changes and optimisations as needed.


Data Quality and Governance:

  • Implement data quality checks and ensure data accuracy and consistency;
  • Work with stakeholders to define and enforce data governance policies.


Infrastructure Management:

  • Set up and manage data infrastructure, including Kubernetes clusters, servers, and cloud-based resources using Terraform;
  • Monitor and optimise system performance, troubleshoot issues, and ensure system availability.


Collaboration:

  • Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to meet data requirements;
  • Communicate effectively with stakeholders to gather requirements and provide updates on data engineering projects.


If the above role sounds like it may be of interest to you or someone you know, please feel free to submit an application to the job or reach out to this job's owner.