Data Engineer

Palantir Technologies
London
2 months ago
Applications closed

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Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer (Airport/Manufacturing Experience Required)

A World-Changing CompanyPalantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more.The RoleAs a Data Engineer, you will be a key part of the Product Development Data Applications and Analytics Team (PDAAT) within the Product Development organisation. You and the team will work with leadership, cross-functionally with product engineers and leaders across the business to address, measure, and evaluate Palantir’s internal strategic and tactical performance. You will analyse cloud utilisation, user metrics, stability KPIs, cost optimisations, and ensure best in class support for our developers and product teams. You will use your analytical experience to architect custom KPIs that fit new business needs, combine disparate data sources and distil trends from internal and external data sources. You will provide cost and usage monitoring, recommendations, and advice to help maintain our analytics infrastructure that serves Palantir’s core business and development functions. You will use Palantir’s platforms just as Palantir’s customers do: creating custom applications that enable specific internal workflows, activating vast troves of data that unlock key insights, and creating views that help drive day-to-day outcomes.Teams throughout Palantir will consult with and rely on you to help guide planning and decision-making for a wide range of topics while balancing various sets of priorities and weighing costs. You are a problem solver who loves gathering information from various sources, analysing and presenting your recommendations to technical teams, business partners, and Palantir leadership. You are a good communicator who thrives in cross-timezone collaborations and individual projects. You feel comfortable working in a data-rich and dynamic environment, putting various pieces of the puzzle together to create a coherent picture. This position will offer an exciting work environment, multi-functional exposure, and a chance to create an impact on Palantir’s product development, customer satisfaction and bottom line, by driving analysis, and recommending and implementing processes.

Core Responsibilities

Partner with team members, engineering, product and business leaders to understand current user behaviour and patterns across our platform Develop KPIs, create project plan, implement Pipelines and design user interfaces to understand delivery and adoption of new products and capabilities Monitor pipelines for stability, suggest and enact efficiency initiatives measures Own projects end-to-end while communicating with stakeholders about milestones and performance Create engineering awareness and drive behaviour change in the product organisation in line with the team’s mission and goals Use Palantir’s platform to create data analysis and supporting visualisations Use Palantir’s platform to create custom applications and executive dashboards Articulate feedback from real-world use for Palantir’s software engineering teams to help improve Palantir’s overall offerings Become an expert on foundational data that underpins Palantir’s software development and internal operations Respond to strategic, tactical, and analytical questions from within Palantir about data and operations

What We Value

Ability and desire to independently identify, analyse, and resolve ambiguous issues and self-check work Ability to thrive in a dynamic and changing environment, collaborating and working cross-functionally across teams Entrepreneurial spirit - always thinking about how data, process, views, understanding can be improved Keen interest in learning new tools and approaches to problems Love for bringing order to ambiguity Experience with Spark is desirable

What We Require

Degree in Data Science, Finance, Maths, Engineering, Computer Science, Economics, Business or other quantitative fields 1 - 3 years of experience in a data analytical role Expertise and experience in Python and manipulation of data to answer questions Experience with BI tools, SQL queries, and organising and analysing data

Life at PalantirWe want every Palantirian to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians’ lives is just one of the ways we’re investing in our community. Learn more at and note that our offerings may vary by region.In keeping consistent with Palantir’s values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the city and or country in which you are employed. If the posting is specified as Onsite, you are required to work from an office.If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please and let us know how we can help.

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