101 to 125 of 198 Apache Airflow Jobs

Cloud Platform (GCP) and cloud data tools * Background in CRM systems and customer data structures * Understanding of data warehousing concepts and cloud architecture * Experience with ETL tools and frameworks Airflow, Git, CI/CD pipeline * Data Insights reporting experience * Competent with real-time data processing and streaming technologies * Proficiency in Tableau or other data visualisation tools is desirable ** PLEASE More ❯

best practices in testing, data governance, and observability. Lead roadmap planning and explore emerging technologies (e.g. GenAI). Ensure operational stability and support incident resolution. Tech Stack Python , SQL , Airflow , AWS , Fivetran , Snowflake , Looker , Docker (You don't need to tick every box - if you've worked with comparable tools, that's great too.) What We're Looking For More ❯

Data Engineer - FinTech - Newcastle (Tech stack: Data Engineer, SQL, Python, AWS, Git, Airflow, Data Pipelines, Data Platforms, Programmer, Developer, Architect, Data Engineer) Our client is a trailblazer in the FinTech space, known for delivering innovative technology solutions to global financial markets. They are expanding their engineering capability in Newcastle and are looking for a talented Data Engineer to join More ❯

pipelines in Python that run smoothly and efficiently. You understand how to analyze data, spot trends, and communicate your findings clearly. Bonus points if you have worked with DBT, Airflow, Terraform, or have an interest in machine learning and advanced analytics. Above all, you want to grow your technical skills while building things that get used right away. Wat More ❯

contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous work in cybersecurity, anomaly detection, or behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform More ❯

with a passion for new technologies Experience in startups or top-tier consultancies is a plus Nice to Have: Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems What's On Offer: Salary: £50,000-£75,000 + share options Hybrid working: 2-3 days per More ❯

with a passion for new technologies Experience in startups or top-tier consultancies is a plus Nice to Have: Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems What's On Offer: Salary: £50,000-£75,000 + share options Hybrid working: 2-3 days per More ❯

drug discovery, combining quantum-inspired physics with generative models Real-World Impact : Every feature shipped helps scientists prioritize molecules and design better candidates, faster Modern Stack & Challenges : Python, FastAPI, Airflow, Snowflake, Kubernetes, ML workflows, scientific infra, data engineering at scale High Ownership, High Impact : Engineers contribute to architecture, tooling, and scientific decision-making Interdisciplinary Team : Collaborate with chemists, physicists More ❯

Python and SQL fundamentals The ability to get to grips with new technologies quickly What's Nice to Have Experience in dashboarding tools, Typescript and API development Familiarity with Airflow, DBT, Databricks Experience working with Enterprise Resource Planning (e.g. Oracle, SAP) and CRM systems Benefits Become part of a category-defining startup which transforms transforming how industrial companies operate More ❯

Scala, or in a language such as Java or Python that supports a quick transition to Scala Working with big data technologies, ideally Spark, but experience with tools like Airflow or Elasticsearch is also valuable Manipulating and transforming data - cleansing, parsing, standardising - to improve data quality and integrity Why join Quantexa? Our perks and quirks. What makes you Q More ❯

building and scaling Extract, Load, Transform (ELT) pipelines. Experience overseeing or managing projects involving data pipeline orchestration, data quality management, and performance optimization. Knowledge of common ELT tools like Apache Airflow, Informatica PowerCenter, or cloud-native data integration services is a plus • Data Science/AI & Data Standards: Understanding of how data standards impact data science and AI More ❯

MLflow for ML lifecycle management and model versioning Hands-on experience with Databricks Model Serving for production ML deployments Proficiency with GenAI frameworks/tools and technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks. Demonstrable experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models Hands-on More ❯

time Preferred Skills: Experience with frameworks: TensorFlow, PyTorch, Keras Knowledge of LLMs, GANs, or Reinforcement Learning Familiarity with MLOps tools like MLflow, SageMaker, Vertex AI Understanding of ETL pipelines, Airflow, Kafka, or Spark More ❯

on development/engineering background Machine Learning or Data background Technical Experience: PySpark, Python, SQL, Jupiter Cloud: AWS, Azure (Cloud Environment) - Moving towards Azure Nice to Have: Astro/Airflow, Notebook Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people More ❯

systems. Deploy scalable AI systems using AWS (Lambda, S3, SQS, EKS/ECS), CDK , and modern DevOps practices. Collaborate on infrastructure and data pipelines using SQLAlchemy, Boto3, Pandas, and Airflow . Contribute to real-time AI services , model versioning, and advanced fine-tuning (LoRA, QLoRA, etc.). AI Engineer requirements: Solid Python skills (3.9+) with deep knowledge of async More ❯

communication skills. Bonus Points For: Experience leading projects in SCIF environments. Expertise in Cyber Analytics, PCAP, or network monitoring. Familiarity with Spark, Dask, Snowpark, Kafka, or task schedulers like Airflow and Celery. More ❯

or PySpark Exposure to generative AI platforms or interest in building AI-powered workflows Ability to work closely with clients and lead delivery in fast-paced environments Exposure to Airflow, Databricks or DBT would be beneficial Some of the package details include: Salary up to £75,000 per year Bonus and share options Vibrant central London office, working closely More ❯

or PySpark Exposure to generative AI platforms or interest in building AI-powered workflows Ability to work closely with clients and lead delivery in fast-paced environments Exposure to Airflow, Databricks or DBT would be beneficial Some of the package details include: Salary up to £75,000 per year Bonus and share options Vibrant central London office, working closely More ❯

including PCAP, CVEs, and network monitoring. Experience integrating with technologies such as Spark, Dask, Snowpark, or Kafka. Background in web application stacks (e.g., Flask, Django) or task schedulers (e.g., Airflow, Celery, Prefect). Compensation & Benefits: Competitive salary, equity, and performance-based bonus. Full benefits package including medical, dental, and vision. Unlimited paid time off. If you want to know More ❯

Background in high-volume, distributed processing systems. Familiarity with DevOps tools such as GitHub Actions or Jenkins. Solid grounding in modern engineering principles and full-stack development. Bonus Skills: Airflow, Kafka/Kafka Connect, Delta Lake, JSON/XML/Parquet/YAML, cloud-based data services. Why Apply? Work for a global payments innovator shaping the future of More ❯

passion for new technologies Experience in startups or top-tier consultancies is a plus Nice to Have (not essential): Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems What's On Offer: Salary: £50,000-£75,000 + share options Hybrid working: 2-3 days per More ❯

with a passion for new technologies Experience in startups or top-tier consultancies is a plus Nice to Have: Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems What's On Offer: Salary: £50,000-£75,000 + share options Hybrid working: 2-3 days per More ❯

with a passion for new technologies Experience in startups or top-tier consultancies is a plus Nice to Have: Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems What's On Offer: Salary: £50,000-£75,000 + share options Hybrid working: 2-3 days per More ❯

passion for new technologies Experience in startups or top-tier consultancies is a plus Nice to Have (not essential): Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems What's On Offer: Salary: £50,000-£75,000 + share options Hybrid working: 2-3 days per More ❯

material sciences, or other research-heavy fields. Leadership & Mentorship: Experience guiding peers in backend best practices, performance optimization, and system design. Orchestration Systems: Experience with orchestration tools (Flyte, Kubeflow, Airflow, Prefect, Dagster). Domain Background: Exposure to analytics for life sciences, material sciences, or related fields. We're All In Lila Sciences is committed to equal employment opportunity regardless More ❯