12 data engineering jobs found

Develop and maintain data pipelines for ingesting, transforming, and modelling structured and unstructured data. Work across cloud platforms (AWS, Azure, OCI, GCP) and Palantir Foundry environments to deliver and maintain robust data solutions. Support data modelling and warehousing activities using best practices in schema design and data governance. Contribute to ETL/ELT development, testing, and automation using tools such as Python, SQL, Airflow, or Azure Data Factory. Collaborate closely with analysts, scientists, and architects to ensure data solutions meet business needs. Participate in Agile delivery teams, including sprint planning, code reviews, and show-and-tells. Learn and apply DevOps and CI/CD principles to improve data deployment and reliability. Document work clearly and share knowledge with your team. What We're Looking For Essential Skills & Experience Interest and demonstrable experience in a data engineering, data analytics,...

YouLend is a rapidly growing FinTech that is the preferred embedded financing platform for many of the world’s leading e-commerce platforms, tech companies, and Payment Service Providers. Our software platform enables our partners to extend their value proposition by offering flexible financing products in their own branding, to their merchant base, without capital at risk. We are owned by the leading Private Equity company, EQT, and have grown +100% year-on-year since 2020. We are headquartered in London, UK, but are also present in several European countries as well as the United States where we service our partners, including eBay, Amazon, Just Eat, Shopify, and Stripe. The Role We are seeking a talented Senior Data Scientist to develop and enhance Probability-of-Default and Revenue-Forecasting models, leveraging advanced data analysis and machine learning techniques to drive impactful business insights. Requirements Responsibilities: Analyse large,...

Rackspace is seeking a highly accomplished Solution Director, Analytics & AI to lead the design and sales of two critical solution portfolios: generative AI/LLM solutions and data modernization/lakehouse architectures on AWS. This pivotal role requires mastery of both domains - leveraging generative AI capabilities (Amazon Q, Amazon Bedrock, QuickSight) to drive executive conversations and opportunity creation, while delivering enterprise data modernization through lakehouse architectures using AWS native services (Glue, SageMaker Unified Studio) and leading platforms (Databricks on AWS, Snowflake on AWS). The position demands cross-functional experience with proven ability to engage C-level stakeholders, drive top-of-funnel opportunity creation, and maintain comprehensive account ownership across the entire customer lifecycle. Responsibilities: Strategic Leadership & Opportunity Development Drive top-of-funnel opportunity...

About Hiscox We’re a global, specialist insurer headquartered in Bermuda and listed on the London Stock Exchange. With 3,000 employees and offices in 14 countries we’re a business with lots of opportunity for people with talent, spark and lots of ambition. If you want to build a great career with a company that prioritises strong values – such as integrity and courage – where our people always pull together to do the right thing for each other and our customers, then we’d love to hear from you.   About the Hiscox Data Team The Hiscox Data Team is transforming data maturity across the organisation to accelerate business growth and efficiency using Data, Analytics, and AI. The virtual team consists of a central function driving alignment, Business Unit teams identifying commercial value and providing execution capacity and technology providing for Data Engineering and ML Operations services. We aim to empower colleagues by...

About Us We’ve got an incredible brand - now we’re busy creating the legend behind it. At hosting.com, we’ve set out to redefine the new standard for what web hosting should be — one that is authentically human, deeply trusted, and built on shared success. Our aim and promise is bold: to become the world’s most trusted hosting company. If you’re eager to contribute your time and talent to something bigger that people will talk about long after your work is done - hosting.com is your place. If you want to do that work with and alongside incredible humans who care about each other, our customers and the work we do - it’s at hosting.com. If you believe the best success is always shared success, with your teammates, for your customers - hosting.com is your next work home. At hosting.com, we’re not just hosting websites. Although we do a great job of that for millions of websites. We’re helping our customers tell their stories and connect with their people. Creating product...

About Zone & Co. Zone & Co is a leading SaaS company committed to freeing finance teams from the limitations of clunky, disparate systems and manual processes. Our rapidly growing portfolio of solutions is built on the oracle NetSuite platform (the leading cloud-based ERP software platform) and offers advanced automation and integration solutions to a wide spectrum of business-critical functions, including complex billing & revenue recognition, to off-the-shelf advanced reporting, Payroll, AP automation, payments, reconciliations, approvals and more. Zone helps over 3,000 companies worldwide work smarter, faster and more securely, whilst maximizing platform value. We do this with a growing innovation-minded team of over two hundred folks, based across North America, Europe and Asia Pacific. Our journey has only just begun and we are excited to welcome talented individuals looking to grow alongside us. If this sounds interesting to you, we'd love to hear from...

Location:   Hybrid (London Office) Salary:   Competitive About Us We are an AI-powered consumer intelligence company transforming qualitative research through automated moderation and real-time insight generation. Alongside market research data, we work with commercial, behavioural, and product datasets to help brands understand consumers and make better decisions faster. As we scale our insights platform, we’re looking for a Data Scientist who thrives on building robust analytical pipelines and high-trust datasets that power internal teams and client outcomes. The Role You will own the analytical backbone of our platform and insight delivery. This means turning raw data — whether market research, commercial, behavioural, or product data — into clean, reliable, reusable datasets and metrics that drive dashboards, client deliverables, and product decisions. This role is not focused on training machine learning models. It is centred on data preparation,...

About Cognite Cognite is gearing up for an exciting year of growth in 2026. As we expand our global footprint and scale our impact across industries, we’re building our team with talented, forward-thinking individuals who want to make a difference. Even if you don’t see a role that matches your experience today, we encourage you to apply and join our talent community. As immediate opportunities open up, our recruiting team will reach out to connect and explore how your skills align with our growing needs. Join us as we continue to innovate and transform how industrial data drives the world forward. E In the realm of industrial digital transformation, we stand at the forefront, reshaping the future of Oil & Gas, Chemicals, Pharma and other Manufacturing and Energy sectors. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future. Our values Impact : Cogniters strive to make an...

This is a job that we are recruiting for on behalf of one of our customers. To apply, speak to Jack. He's an AI agent that sends you unmissable jobs and then helps you ace the interview. He'll make sure you are considered for this role, and help you find others if you ask. Data Scientist Company Description:   Fast-growing tech platform Job Description: Join a dynamic team as a Data Scientist, where you'll be instrumental in transforming complex data into actionable insights. This role involves designing and implementing advanced analytical models, driving data-driven decision-making, and directly impacting product development and strategic initiatives within a rapidly evolving environment. Location:   Remote Why this role is remarkable: Opportunity to shape data strategy and influence key business outcomes from day one. Work with a collaborative team in a well-funded, innovative tech environment. Significant potential for professional...

An engineering team is responsible for designing, developing, and maintaining products or systems, ensuring they meet performance, safety, and reliability standards. This involves planning and managing projects, collaborating with other teams, conducting thorough testing, and troubleshooting issues. They also focus on continuous innovation and improvement, compliance with regulations, and providing technical support to stakeholders. By documenting their processes and designs, they ensure clarity and consistency, contributing to the delivery of high-quality, reliable, and innovative solutions. Sub Department Summary: The data science team currently supports multiple areas of the business through knowledge of modeling and manipulating datasets. We assist testing new use cases through production of new datasets and understanding data analysis use-cases.. We also support the engineering and architecture teams through research of new technologies, performance testing, and...

1. Role Overview Mercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication — distinct from production ML engineering. 2. Key Responsibilities  Translate business questions into data science problems and analytical workflows Conduct data wrangling, exploratory analysis, and hypothesis testing Develop statistical models and predictive tools for decision support Create compelling data visualizations and dashboards for business users Present findings and recommendations to non-technical stakeholders 3. Ideal...

About Tilt We’re building the next century of shopping, making it feel human, communal, and alive again. E-commerce has spent decades optimising for clicks, stripping away the trust, joy, and connection that once made shopping meaningful. We’ve recently raised an  $18M Series A  from the world’s best investors to build the next era of commerce. Now, we’re hiring elite builders to make it happen Your Mission We are building the intelligence layer that powers every major decision at Tilt: how we grow categories, optimise marketing, and design product experiences. As our Data Scientist, you will architect, own, and scale this system end-to-end. Your work will not be limited to analysis. You will enable Tilt to operate with instant insights, scientific decision-making, and a data foundation that accelerates every team. For example, in one recent project, we cut the time to insight from days to minutes by building a new internal...