Tech jobs
Job listings
Snowflake Data Engineer - Ads
Build and automate Apple Ads’ Snowflake-based cloud data warehouse on AWS, using Iceberg lakehouse tech and Python to deliver reliable, scalable advertising analytics and pipelines.
Data Engineer
Build and maintain production data pipelines on Databricks, transforming raw data into clean, governed datasets for analytics and AI teams using PySpark, SQL, and Delta Lake.
Senior Analytics Engineer - Shop Analytics (all genders)
Build and maintain scalable data pipelines and automated reports to analyze ecommerce shop performance and retail-media ad revenue, using SQL, dbt, BigQuery, and Airflow.
Senior Analytics Engineer - Shop Analytics (all genders)
Build and maintain data pipelines and automated reports for ecommerce and retail media analytics, using SQL, dbt, and cloud platforms like BigQuery.
Junior Data Engineer
Build and maintain ELT/ETL pipelines to move data into Snowflake, write dbt models, and set up data-quality checks for a US-based AI mortgage platform.
Analytics Engineering Manager
Our Story Hello there. We’re Zopa. We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers…
Tech Lead Data Engineer
Lead a team to design and own ETL pipelines and OLAP data architecture for a large-volume marketing analytics platform using AWS S3 data lakes, Athena, Airflow, and Python.
Senior Analytics Engineer, Consumer/Merchant
Senior Analytics Engineer builds and maintains data pipelines, models, and dashboards for Wolt’s consumer and merchant analytics, enabling data-driven decisions and experiments using Snowflake, SQL, Airflow, dbt, and Looker.
Data Engineer
Build and maintain scalable data pipelines and warehouses for AI-driven products, using Python, SQL, and cloud platforms like AWS/GCP.
Data Engineer (GCP/BigQuery)
Design and execute cloud data migrations to GCP/BigQuery, build ETL pipelines with Python/PySpark, and automate infra with Terraform for enterprise clients.
Data Platform Engineer
Build and maintain a self-service, AI-ready data platform for SumUp, focusing on scalable infrastructure, ETL, orchestration, and real-time analytics using modern tools like Snowflake, Airflow, and Kubernetes.
Data Engineer (senior)
Senior data engineer building scalable data pipelines, modeling layers (Raw/Clean/Enriched), and implementing fuzzy matching algorithms in Python to clean and link records.
[AX AgentX] 데이터 엔지니어(RAG/LLM Pipeline)
Builds and optimizes ETL pipelines, vector databases, and LLMOps for AI services using Python/Java/Scala, focusing on RAG/LLM workflows and multimodal data.
Data Analytics Engineer, Payments
Build and maintain data pipelines and dashboards that track billions in payments flows, reconcile accounts, and support Rippling’s finance and product teams using SQL, Python, and Snowflake.
Senior Data Engineer
Build automated pipelines to consolidate payments, CRM, and ERP data into Snowflake, model finance-grade data marts, and power daily reporting that reconciles with the general ledger.
Data Engineer
Build and maintain scalable data pipelines and warehouses to feed AI-driven e-commerce analytics and decision engines using Python, Spark, SQL, and cloud platforms.
Senior Software Engineer, Data Platform, AI Labs
Build and scale the data infrastructure powering Epiq AI Labs’ legal-focused AI platform, including high-volume document ingestion, distributed processing, and vector/search indexing for retrieval and reasoning engines.
Data Engineer
Are you passionate about renewable energy and eager to work at the forefront of the global energy transition? PEAK Wind is seeking a Data Engineer to support our Data & Intelligence team in building data pipelines…
Senior Data Engineer I
Design and maintain scalable data pipelines using SparkSQL and PySpark to transform IoT device and product data into analytics-ready tables for dashboards, ML training, and causal inference at a cloud platform for physical operations.
Senior Data Engineer, Blockchain data and/or NLP pipelines
Build and operate high-throughput ETL/ELT pipelines that ingest blockchain, exchange, and text data, then serve clean datasets and APIs for crypto-market analytics and risk models.