26 to 50 of 155 Remote Apache Airflow Jobs

software development lifecycle, from conception to deployment. Capable of conceptualizing and implementing software architectures spanning multiple technologies and platforms. Technology stack Python Flask Java Spring JavaScript BigQuery Redis ElasticSearch Airflow Google Cloud Platform Kubernetes Docker Voted "Best Places to Work," our culture is driven by self-starters, team players, and visionaries. Headquartered in Los Angeles, California, the company operates More ❯

improvement and operational excellence. Deep expertise in data compliance frameworks, cost management, and platform optimisation. Strong hands-on experience with modern cloud data warehouses (Databricks, Snowflake, AWS), SQL, Spark, Airflow, Terraform. Advanced Python skills with orchestration tooling; solid experience in CI/CD (Git, Jenkins). Proven track record in data modelling, batch/real-time integration, and large More ❯

streaming architectures, to support advanced analytics, AI, and business intelligence use cases. Proven experience in designing architectures for structured, semi-structured, and unstructured data , leveraging technologies like Databricks, Snowflake, Apache Kafka , and Delta Lake to enable seamless data processing and analytics. Hands-on experience in data integration , including designing and optimising data pipelines (batch and streaming) and integrating cloud … based platforms (e.g., Azure Synapse, AWS Redshift, Google BigQuery ) with legacy systems, ensuring performance and scalability. Deep knowledge of ETL/ELT processes , leveraging tools like Apache Airflow, dbt, or Informatica , with a focus on ensuring data quality, lineage, and integrity across the data lifecycle. Practical expertise in data and AI governance , including implementing frameworks for data privacy More ❯

Lead code reviews and technical design discussions, providing expert guidance Optimize systems for speed, scalability, and reliability through sophisticated engineering approaches Oversee the evolution of our data infrastructure including Airflow/Google Cloud Composer environment Apply rigorous system design thinking to create elegant, efficient technical solutions Commercial & Client Engagement Represent Fenestra's technical capabilities to clients, partners, and at … production-quality code Very deep proficiency in Python and modern software engineering practices Advanced SQL knowledge with experience in data modelling and optimization Extensive experience with ETL frameworks, particularly Apache Airflow (3+ years) Strong understanding of CI/CD, Infrastructure as Code (Terraform), and containerization Experience designing and optimizing big data processing systems particularly using Bigquery/GCP More ❯

databases, data warehousing, and big data (Hadoop, Spark). Proficient in Python, Java, or Scala with solid OOP and design pattern understanding. Expertise in ETL tools and orchestration frameworks (Airflow, Apache NiFi). Hands-on experience with cloud platforms (AWS, Azure, or GCP) and their data services. More ❯

engineers, analysts and client teams to deliver value-focused data solutions What We’re Looking For: Strong experience with Python, SQL, Spark and pipeline tools such as dbt or Airflow Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) A solid grasp of data modelling, data warehousing and performance optimisation Passion for data quality More ❯

data landscape. Explore new data sources and technologies to enhance the team’s capabilities. Why This Role Stands Out Work with a cutting-edge modern data stack: Snowflake, dbt, Airflow, and Azure. Be part of a small team, where due to the size you will have huge ownership Opportunity to work on varied datasets and apply your web scraping More ❯

stacks and cloud technologies (AWS, Azure, or GCP). Expert knowledge of Python and SQL Hands-on experiences with Data Architecture, including: Cloud platforms and orchestration tools (e.g. Dagster, Airflow) AI/MLOps: Model deployment, monitoring, lifecycle management. Big Data Processing: Spark, Databricks, or similar. Bonus: Knowledge Graph engineering, graph databases, ontologies. Located in London And ideally you... Are More ❯

stacks and cloud technologies (AWS, Azure, or GCP). Expert knowledge of Python and SQL Hands-on experiences with Data Architecture, including: Cloud platforms and orchestration tools (e.g. Dagster, Airflow) AI/MLOps: Model deployment, monitoring, lifecycle management. Big Data Processing: Spark, Databricks, or similar. Bonus: Knowledge Graph engineering, graph databases, ontologies. Located in London And ideally you... Are More ❯

Hybrid) (3 days onsite & 2 days remote) Role Type: 6 Months Contract with possibility of extensions Mandatory Skills : Python, Postgres SQL, Azure Databricks, AWS(S3), Git, Azure DevOps CICD, Apache Airflow, Energy Trading experience Job Description:- Data Engineer (Python enterprise developer): 6+ years of experie click apply for full job details More ❯

data storytelling and operational insights. Optimise data workflows across cloud and on-prem environments, ensuring performance and reliability. Skills & Experience: Strong experience in ETL pipeline development using tools like Apache Airflow, Informatica, or similar. Advanced SQL skills and experience with large-scale relational and cloud-based databases. Hands-on experience with Tableau for data visualisation and dashboarding. Exposure More ❯

experience in a commercial environment, working on AI/ML applications Multi cloud exposure (Azure/AWS/GCP) . Some of the following - Pytorch, GPT/BERT, RAG, Apache Airflow, Power Automate, Azure logic apps, RPA/Zapier, HuggingFace, LangChain... Background in Data Science or Software Engineering The values and ethos of this business Innovation with real More ❯

experience in a commercial environment, working on AI/ML applications Multi cloud exposure (Azure/AWS/GCP) . Some of the following - Pytorch, GPT/BERT, RAG, Apache Airflow, Power Automate, Azure logic apps, RPA/Zapier, HuggingFace, LangChain... Background in Data Science or Software Engineering The values and ethos of this business Innovation with real More ❯

data engineering or data architecture Proven experience designing and implementing solutions on Snowflake Strong SQL and Python skills Experience with AWS and modern data stack tools (e.g., dbt, Fivetran, Airflow) Excellent communication skills and stakeholder management Fluent in English (spoken and written) The job is 100% remote; please ensure you have a comfortable office set at your desired work More ❯

in a modern, cloud-first environment with real autonomy — designing and building data pipelines, improving infrastructure, and driving innovation across the data platform. Tech Stack: 🔹 Snowflake 🔹 Python (FastAPI, Pydantic) 🔹 Airflow/Dagster 🔹 AWS + Terraform 🔹 CI/CD (GitHub Actions) (Bonus: Kafka, dbt/SQLMesh, data quality & governance tools) What’s on Offer: 💰 Up to £110,000 + annual More ❯

for individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong grasp More ❯

architecture experience (AWS, GCP, or Azure) Solid understanding of streaming vs. batch processing paradigms Experience defining technical strategy and creating actionable roadmaps Familiarity with broader data ecosystem tools like Airflow, Dagster, DBT Strong skills in Python, Scala, or Java A background in ETL/ELT pipelines, data warehousing, and analytics engineering best practices Experience working with privacy-sensitive data More ❯

are giving express consent for us to process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: GCP | Python | SQL | MongoDB | Airflow | dbt | Terraform | Docker | ETL | AI | Machine Learning More ❯

are giving express consent for us to process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: GCP | Python | SQL | MongoDB | Airflow | dbt | Terraform | Docker | ETL | AI | Machine Learning More ❯

for individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong grasp More ❯

AI/ML engineering 💻 Strong Python skills (plus SQL and experience with modern ML frameworks) 🏦 Background in financial services, banking, or fintech 📊 Experience building production-grade AI systems (MLflow, Airflow, FastAPI, etc.) ☁️ Familiarity with cloud platforms (GCP preferred, or AWS/Azure) 🔍 Strong analytical mindset and ability to solve complex problems 🤝 Excellent communication and collaboration skills ⚙️ Experience with data More ❯

AI/ML engineering 💻 Strong Python skills (plus SQL and experience with modern ML frameworks) 🏦 Background in financial services, banking, or fintech 📊 Experience building production-grade AI systems (MLflow, Airflow, FastAPI, etc.) ☁️ Familiarity with cloud platforms (GCP preferred, or AWS/Azure) 🔍 Strong analytical mindset and ability to solve complex problems 🤝 Excellent communication and collaboration skills ⚙️ Experience with data More ❯

approach. They foster a collaborative, forward-thinking culture where engineers work on large-scale datasets, distributed systems, and modern cloud platforms. Teams leverage cutting-edge tools such as Spark, Airflow, Kafka, dbt, and Databricks to build resilient, scalable, and high-quality data solutions. Why this role? ** Lead a talented team of data engineers delivering high-quality, reliable data systems. More ❯

/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow), and ELT/ETL tools. Familiarity with 2D and 3D data formats (e.g., OBJ, FBX, glTF), point clouds, and large-scale computer vision datasets-or the ability to quickly More ❯

/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow), and ELT/ETL tools. Familiarity with 2D and 3D data formats (e.g., OBJ, FBX, glTF), point clouds, and large-scale computer vision datasets-or the ability to quickly More ❯