715 open roles · average listed pay $181k · 235 new this week · 191 remote
This is a Lead Data Engineer position where you will take responsibility for designing and developing data processing and persistence software components for solutions that handle data at scale.
You will onboard portfolio businesses onto a central Microsoft Fabric and Azure data platform.
We are looking for a Data Engineer who wants to be at the forefront of AI integration. You won't just be building standard pipelines.
As a Data Engineer you'll build robust data products and pipelines, working deeply with Databricks and taking full ownership from initial requirements all the way through to production. You won't be working in a silo.
We moved to Snowflake a year ago and have just implemented dbt with Git. The foundations are in place. Now we need a hands‑on lead to embed them, lift the team's capability, and scale data engineering across HealthShare NSW.
Client Server Limited is seeking a Data Engineer to join a UK-based team working on Greenfield systems with a modern tech stack (Python ETL on AWS SaaS). The role offers fully remote work within the UK and a salary up to £95k, with a base around £80k.
Are you a Cloud savvy Data Engineer seeking an opportunity to work on complex, Greenfield systems using the latest tech? You could be progressing your career at a hugely successful European car insurance tech company as they expand their UK presence.
micro1 · 14d ago
You will develop distributed data pipelines, manage large-scale datasets across cloud environments and design reliable data systems for data processing, experimentation and model development at scale.
You will build the GEO playbook from the data, the recommendation engine that puts it in front of customers, and the models that tell them which actions will make the biggest difference. Along the way you will find new ways to look at the data that nobody else in the market can.
CrowdStrike · 15d ago
We're hiring a Product Analytics Engineer for CrowdStrike's Product Insights team. Our team designs, builds, and maintains the analytics data systems that power the award-winning Falcon Console.
Data Platform Architecture: Architect, build, and optimize scalable cloud-native backend services and data platforms supporting high-throughput ingestion, real-time analytics, and downstream AI/ML consumption.
Design, build, and maintain analytics-focused data pipelines that ingest, transform, and curate observability data from EDA datacenters. Develop reliable ingestion pipelines for metrics, logs, traces, and hardware health telemetry generated by large-scale CPU and GPU clusters.
Combine business insight and the data science toolkit to support critical finance data science initiatives using traditional machine learning, Bayesian statistics, simulation, and optimization.
Provide Technical Leadership to the team of Data Scientists and Engineers working on global deployment at scale of GPU Compute services.
Build, implement, and optimize tools to generate synthetic data for training different deep learning DRIVE networks, including simulated lidar, radar, camera/RGB-D, bounding boxes, object tracks, world models, segmentation, depth, scene semantics, and sensor metadata.
When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988!
Capital One · 15d ago
Passion – Solving complex challenges with great people, tech, and data. Niche – Location Intelligence for Programmatic Advertisers. Drive: We turn ambition into action. Resilience: We adapt, persevere, and grow stronger.
Genomics England · 15d ago
Designing, building and optimising scalable data pipelines and processing systems, from data acquisition and transformation through to delivery.
This isn't a role where you'll spend your time moving data around low-code tooling or simply maintaining existing pipelines.
You'll work on complex projects spanning data platforms, advanced analytics, AI, and cloud technologies, with the opportunity to influence outcomes from design through to delivery. You'll work at the point where modern data platforms and emerging AI technologies converge.
Rubix Solutions · 16d ago
Work with business stakeholders to define problems and shape them into practical analytical work. Analyse customer, risk and operational data to test how existing controls are performing. Build, validate and improve predictive models that support customer risk assessment.
An Independent evolving gaming hub is looking for a Lead Data Engineer who's happy to stay hands-on, set the standard and still get stuck into the code. You'll be the senior technical authority for the data platform, working as the hiring manager's technical number two.
The Data Integration team's mission is to empower teams across Jobber with the right data, at the right time, in the right place, so they can deliver business value better and faster.
They're responsible for a significant share of global carbon emissions, and many still make critical decisions using less than 10% of the data their systems collect. This company is using AI to change that.
You’ll be joining a team that builds and has built thousands of ingestion pipelines, with data coming from every single potential avenue it possibly can. To get the best understanding of an investment, all data points are considered.
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
Develop durable, extensible data assets that evolve as the company scales. Establish modeling standards, documentation practices, and governance frameworks. Partner with RevOps and Finance to define and operationalize core SaaS metrics (ARR, retention, expansion, pipeline, etc.).
TL;DR Kharon is seeking a full-time Sr. Data Scientist, Retrieval & Agentic Systems based in Madrid.
TL;DR Kharon is seeking a full-time Senior Data Scientist, Retrieval & Agentic Systems based in London.
You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen fast.
micro1 · 16d ago
You will design, develop and maintain scalable ETL pipelines; collect, clean, transform and organize data; run exploratory analysis to find trends, anomalies and data-quality issues; prepare datasets with researchers, data scientists and engineers for AI and ML initiatives;…
The Analytics team is seeking a passionate, inquisitive, detail-oriented, and customer-focused Senior Data Engineer to join our growing team.
| Level | Median | Listings |
|---|---|---|
| Mid level | $212k | 7 |
| Senior | $173k | 221 |
| Lead / Staff | $185k | 22 |
Companies hiring: Capital One (83), OpenAI (18), Jobgether (12), Anthropic (11), Roblox (10), Pinterest (8).
Skills in current listings: Python (41), Aws (18), Ai (15), Data Engineering (13), Analytics (12), Cloud (12), Data Pipelines (11), Java (11), Kafka (11), Data Quality (10), Airflow (9), Azure (9).
