Data Engineer
Role details
Job location
Tech stack
Job description
Your role will be integral to ensuring that our data environment meets the future demands of our business, positioning EQUANS as a leader in data-driven sustainability solutions., * 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.
- Serve as a subject-matter expert on enterprise data within EQUANS, with a deep understanding of how data from core business processes flows through Palantir Foundry and is utilised across the organisation to support end-to-end reporting and analytics.
- 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.
Requirements
Do you have experience in Spark?, * 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.
Benefits & conditions
Pulled from the full job description
- Referral programme
- Annual leave
- Employee discount
- Employee assistance programme
- Cycle to work scheme
- Discounted gym membership, Equans is looking for an Data Engineer to join our team on a 6 month fixed term contract basis. This is a full-time role working 37.5 hours per week. On offer is a competitive salary, company vehicle or allowance, bonus and benefits package.
This position offers an exciting career path for a passionate data engineer who thrives in an innovative and flexible working environment. You will have ample opportunities for growth and development as EQUANS continues to evolve its data capabilities and adopt cutting-edge technologies., On offer is a competitive salary, car or car allowance, bonus and benefits package, which includes;
- 25 days annual leave (+ public holidays)
- Life Cover equivalent to 2x times annual salary
- Employee discount shopping schemes on major brands and retailers
- Gym membership discounts
- Cycle to work scheme
- Holiday purchase scheme
- 2 corporate social responsibility days per year
- Broad range of learning opportunities, such as professional qualifications, collective/individual training, and personalized support programmes
- Attractive Employee Referral Rewards Scheme
- Access to our growing employee networks including AccessAbility (representing those with physical and mental disabilities), Encompass (representing the LGBTQ+ community), RISE (representing people from ethnic backgrounds), WOMEN TOGETHER (representing women in Equans), Working Parents, and Young Professionals.
- 24/7 Employee Assistance Program and access to mental wellbeing app