Data Engineer

Data Engineer

Fully Remote

£50,000 - £65,000 + Car Allowance - £5,200 + 5% Bonus

6 Month initial FTC with view to extend

Brief

Data Engineer needed for a large well known Facilities Management organisation. The role I have can be based fully remote from home with all equipment provided. My is looking to employ an experienced and well-rounded Data Engineer that takes pride in their work with proven 4 years experience working in a fast-paced environment, preferably within a dynamic data engineering team.

The successful candidate must have proven skills at managing day-to-day BAU tasks to maintain existing data processes/ETLs, while simultaneously contributing to strategic roadmap projects and initiatives. Along with previous responsibility for end-to-end ownership of data pipelines and automation of data workflows.

Finally have 5 years Strong programming experience at an advanced level in Python, PySpark, and SQL scripting.

Benefits

Salary: £50,000 - £65,000 per annum
25 day's holiday
Company car / Allowance
Variable annual bonus based 5-15%
Pension Plan
Career Progression

What the role entails:

Some of the main duties of the Data Engineer will include:

Develop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise.
Design and implement reusable, scalable, and well-documented data workflows that ingest, transform, and curate data within Palantir Foundry, enabling the business to generate actionable insights and drive strategic decision-making.
Lead workshops with business stakeholders to capture data requirements, translating these into flexible and scalable designs that utilise Palantir Foundry's advanced toolsets to deliver reliable, high-quality data solutions that align with strategic objectives.
Demonstrate Palantir Foundry's full potential by showcasing its capabilities to a diverse set of business stakeholders, guiding them in leveraging the platform's full range of functionality to deliver transformative business outcomes.
Ensure the availability, performance, and integrity of all data services within Palantir Foundry, continuously monitoring and optimising data processes to meet stringent service level agreements (SLAs) and business requirements.

What experience you need to be the successful Data Engineer:

Proficiency in Palantir Foundry pipeline development: Extensive experience in building, maintaining, and optimising data pipelines and transformations within Palantir Foundry, leveraging tools such as Foundry Code Workbooks, Pipelines, and Object Explorer for efficient data processing and integration.
Strong coding skills in Python (Pandas) and PySpark: Essential experience in using Python (Pandas) and PySpark for data manipulation, transformation, and pipeline development within Palantir Foundry, ensuring high performance and scalability across various data flows.
Experience in data modelling and ontology development: Proven expertise in using Palantir Foundry's ontology to model data in ways that optimise its accessibility and usability, supporting robust reporting, analytics, and machine learning pipelines.
Deep understanding of Foundry's data governance and metadata management: Strong knowledge of how Palantir Foundry manages data governance, metadata, lineage, and auditing, ensuring compliance with enterprise-wide data governance policies and regulatory standards.
Data pipeline automation and orchestration: Experience with Foundry's Pipeline Builder for designing, developing, and automating ETL processes that ensure the availability of clean, curated data for business analytics and decision-making.
Code development, testing, and deployment in Foundry: Demonstrated ability to design, test, and deploy code using Foundry's integration with CI/CD pipelines, ensuring data processes are efficiently managed from development through to production.
Effective collaboration and communication skills: Ability to work with cross-functional teams and effectively communicate technical concepts related to data workflows in Palantir Foundry to both technical and non-technical stakeholders, ensuring a clear understanding of how data solutions drive business outcomes.
Deep familiarity with Palantir Foundry's tools and frameworks: Direct experience working within Palantir Foundry's platform, leveraging its comprehensive suite of tools, including Code Workbooks, Pipelines, Object Explorer, and Foundry's data governance and ontology capabilities.
Experience in multi-cloud and data migration environments: Experience working with data environments in Microsoft Asure, AWS, and legacy systems, and a proven ability to consolidate and migrate data processes and workloads into Palantir Foundry as part of a broader data strategy.
Data-driven business value: Demonstrated ability to deliver tangible business value through the development and deployment of data engineering solutions, leveraging Palantir Foundry's capabilities to support key analytics, reporting, and decision-making initiatives.

This really is a fantastic opportunity for a Data Engineer to progress their career. If you are interested please apply as soon as possible as this position will be filled quickly so don't miss out!

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