101 to 125 of 155 Remote Apache Airflow Jobs

code. Implement TMS (Tealium IQ, Adobe Analytics, GTM and Adobe Dynamic Tag Manager) changes. Integrate data sources via web and REST APIs. Data pipping and modelling using SQL, DBT, Airflow, ETL, Data Warehousing, Redshift and Python. Transfer knowledge of the business processes and requirements to the development teams. Collaborate with Product, Marketing and Development teams to collect business requirements More ❯

Cutting-Edge Stack: Backend: Kotlin/Spring Boot, Python/FastAPI & Django Frontend: TypeScript, React Native, CI/CD: ArgoCD, GitHub Actions Infrastructure: GCP, Kubernetes, Terraform Data: dbt, BigQuery, Airflow What You'll Be Doing Collaborate with product managers, designers, and marketing teams to deliver meaningful solutions. Design and run experiments to quickly validate ideas using real user feedback. 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 ❯

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 ❯

of building performant, maintainable, and testable systems Solid background in microservices architecture Proficiency with Postgres & MongoDB (relational + non-relational) Experience with event-driven architectures and asynchronous workflows (Kafka, Airflow, etc.) Solid coding practices (clean, testable, automated) The mindset of a builder: thrives in fast-paced startup environments, takes ownership, solves complex challenges Bonus points if youve worked with More ❯

of building performant, maintainable, and testable systems Solid background in microservices architecture Proficiency with Postgres & MongoDB (relational + non-relational) Experience with event-driven architectures and asynchronous workflows (Kafka, Airflow, etc.) Solid coding practices (clean, testable, automated) The mindset of a builder: thrives in fast-paced startup environments, takes ownership, solves complex challenges Bonus points if you’ve worked More ❯

delivering enterprise-grade SaaS applications in a high-growth B2B environment Strong technical depth across: Backend: Node.js, Typescript Frontend: React.js, Typescript Database: MySQL Cloud/Infra: AWS, ECS, K8s, Airflow, Kafka, Serverless Solid understanding of SaaS fundamentals: onboarding, authentication, SSO, granular authorisation, multi-tenancy Familiarity with workflow orchestration, asynchronous tasks, and event-driven architecture Ideally, exposure to cybersecurity platforms More ❯

delivering enterprise-grade SaaS applications in a high-growth B2B environment Strong technical depth across: Backend: Node.js, Typescript Frontend: React.js, Typescript Database: MySQL Cloud/Infra: AWS, ECS, K8s, Airflow, Kafka, Serverless Solid understanding of SaaS fundamentals: onboarding, authentication, SSO, granular authorisation, multi-tenancy Familiarity with workflow orchestration, asynchronous tasks, and event-driven architecture Ideally, exposure to cybersecurity platforms More ❯

enterprise-grade SaaS applications in a high-growth B2B environment Strong technical depth across: Backend: Node js, Typescript Frontend: React, Typescript Database: MySQL Cloud/Infra: AWS, ECS, K8s, Airflow, Kafka, Serverless Solid understanding of SaaS fundamentals: onboarding, authentication, SSO, granular authorisation, multi-tenancy Familiarity with workflow orchestration, asynchronous tasks, and event-driven architecture Ideally, exposure to cybersecurity platforms More ❯

enterprise-grade SaaS applications in a high-growth B2B environment Strong technical depth across: Backend: Node js, Typescript Frontend: React, Typescript Database: MySQL Cloud/Infra: AWS, ECS, K8s, Airflow, Kafka, Serverless Solid understanding of SaaS fundamentals: onboarding, authentication, SSO, granular authorisation, multi-tenancy Familiarity with workflow orchestration, asynchronous tasks, and event-driven architecture Ideally, exposure to cybersecurity platforms More ❯

for: 5+ years’ experience in analytics, ideally covering both data and business insight within a fast-paced environment. Strong SQL skills with experience building and maintaining data pipelines (dbt, Airflow, or similar). Comfortable working with marketing and growth data - experience with tools like Optimizely, Amplitude, or GA a plus. Proven experience designing and analysing A/B tests More ❯

for: 5+ years’ experience in analytics, ideally covering both data and business insight within a fast-paced environment. Strong SQL skills with experience building and maintaining data pipelines (dbt, Airflow, or similar). Comfortable working with marketing and growth data - experience with tools like Optimizely, Amplitude, or GA a plus. Proven experience designing and analysing A/B tests More ❯

execution. Ability to work under pressure and manage competing priorities. Desirable Qualifications: Familiarity with DevOps practices and cloud-hosted platforms (AWS, Azure, SAS PaaS). Knowledge of scheduling tools - Airflow Exposure to SAS Migration Factory Delivery Models. The successful candidate will also need to be SC Vetted. All profiles will be reviewed against the required skills and experience. Due More ❯

marketing analytics (Google Analytics 4, Google Ads, Meta Ads, SEO/PPC metrics). Skilled in Google Tag Manager and familiar with CRM/data integration tools (HubSpot, Zapier, Airflow, etc.). Excellent analytical and problem-solving skills with great attention to detail. Strong communication skills and able to explain complex data clearly to non-technical audiences. Comfortable presenting More ❯

Strong background in SaaS and B2B product development. Experience in cybersecurity platforms or large-scale data systems is highly valued. Tech Stack Node.js | TypeScript | React | MySQL | AWS | ECS | Kubernetes | Airflow | Kafka | Serverless More ❯

At Kwalee, we foster an environment where creativity and collaboration come together. Specialising in both the development and publishing of casual and hybrid casual games, we also bring our creative touch to publishing PC & Console titles, ensuring a diverse and More ❯

Deep understanding of data modelling, ETL/ELT processes, and distributed data systems . Hands-on experience with SQL/NoSQL databases , and data frameworks like Pandas, PySpark, or Airflow . Cloud experience with GCP, Azure, or AWS (BigQuery, Dataflow, ADF, Glue, or similar). Comfortable working autonomously in a fast-moving environment, with the curiosity and initiative to … workflows is a plus. Knowledge of financial services, compliance, or regulatory data is beneficial but not essential. Tech Stack Languages: Python (FastAPI, Pandas, PySpark) Databases: MongoDB, PostgreSQL Data Processing: Airflow, Redis, GCP BigQuery/Azure Data Factory Cloud: Azure (migrating to GCP; AWS potential) Frontend: Next.js/React (for internal tools) What We Offer Flexible remote working, with an More ❯

and strengthen the organisation’s data engineering and analytics capability within its AWS-based environment. We’re ideally looking for someone with strong hands-on experience across AWS services, Airflow, Python, and SQL. You’ll play a key role in designing, building, and maintaining modern data infrastructure that powers insight-led decision-making across the business. Working within a … and key stakeholders to deliver practical, scalable solutions that make a real impact. Key Responsibilities Design, build, and maintain robust, scalable ETL/ELT pipelines using tools such as Airflow and AWS services (S3, Redshift, Glue, Lambda, Athena). Integrate new data sources and continuously optimise performance and cost efficiency. Ensure data quality, integrity, and security across all systems. … with new tools and trends in data engineering, particularly within the AWS ecosystem. Skills & Experience Strong hands-on experience with AWS (S3, Redshift, Glue, Lambda, Athena). Skilled in Airflow for workflow orchestration. Advanced SQL and proficient in Python for data engineering. Experience with data modelling (e.g. dimensional) and familiarity with NoSQL databases (e.g. Elasticsearch). Confident using Git More ❯

Build and manage our data platform infrastructure through infrastructure as code and support other engineers in their data & infra needs. Design foundations for scalable data pipelines using tools like Airflow, Pub/Sub and Cloud Run on GCP. Set up and manage data integrations using tools like Airbyte, dltHub to power data source integrations. Build-out and scale our … 5+ years in a software or data engineering role with strong data infrastructure affinity. Proficiency in Python and deep knowledge of parts of a batch-oriented data stack (Orchestration: Airflow/Dagster/Temporal; Data processing: Polars/Spark/DuckDB; Data ingestion: Airbyte/Fivetran/dltHub; Data warehousing: BigQuery/ClickHouse/Snowflake). Experience with cloud More ❯

Machine Learning Engineer Machine Learning Engineer – AI for Advanced Materials – Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We’re looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that’s reinventing how … Our client is seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that’s fusing AI More ❯

Machine Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford/Remote (UK) (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that … Our client is seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that's fusing AI More ❯

our data platform infrastructure through infrastructure as code and support other engineers in their data & infra needs. Design foundations that help us build scalable data pipelines using tools like Airflow, Pubsub and Cloud Run on GCP. Set up and manage data integrations using tools like Airbyte, dltHub to power integrations for various financial data sources. Build-out and scale … infrastructure affinity. Proficiency in Python since it powers a significant amount of our data processing. Deep expertise in at least parts of a batch oriented data stack , e.g. Orchestration: Airflow (preferred), Dagster, or Temporal Data processing: Polars, Spark or DuckDB Data ingestion: Airbyte, Fivetran, or dltHub Data warehousing: BigQuery, Clickhouse, or Snowflake Experience with cloud platforms (GCP preferred), infrastructure More ❯

Job Title: Data Engineer Job Type: Full Time, Permanent Working location: London, Hybrid (3 office days a week) Role Purpose At Travelex we are developing modern data services, which will be at the heart of our relationship with our customers. More ❯

Job Title: Data Engineer Job Type: Full Time, Permanent Working location: London, Hybrid (3 office days a week) Role Purpose At Travelex we are developing modern data services, which will be at the heart of our relationship with our customers. More ❯

be doing: Managing and maintaining a Python-based data warehouse , ensuring reliable data ingestion and transformation. Developing and monitoring data pipelines using Meltano and orchestration tools like Dagster or Airflow . Designing and optimising SQL transformations (DBT experience a plus). Working within Azure cloud infrastructure following Infrastructure-as-Code (IaC) principles. Managing Power BI semantic models , DAX measures … data stack for ETL/ELT processes and data warehousing. Strong SQL and Python skills, with an understanding of Kimball-style data modelling . Experience with DBT, Dagster, or Airflow for transformation and orchestration. Hands-on experience with Azure (preferred), or other cloud environments (GCP/AWS). Familiarity with Git-based version control , CI/CD, and DevOps More ❯