18 of 18 Remote Apache Airflow Jobs in the South East

integrate data best practices across teams Champion data quality, governance, and documentation Key Requirements: Strong experience with Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka, Kinesis, etc. More ❯

in the Data space. This role will also allow the successful individual to cross-train into modern Data Engineering tools and Technologies such as Airflow, dbt, Snowflake, as well further develop their skills Python, SQL and Market Data platforms. The firm work on a hybrid working schedule (three days More ❯

skills for data transformation, cleaning, and loading. Strong coding experience with Python and Pandas. Experience of data pipeline and workflow management tools: Dagster, Celery, Airflow, etc. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Experience supporting and working with cross-functional teams in a dynamic More ❯

robust data pipelines. Work with Python and SQL for data processing, transformation, and analysis. Leverage a wide range of GCP services including: Cloud Composer (Apache Airflow) BigQuery Cloud Storage Dataflow Pub/Sub Cloud Functions IAM Design and implement data models and ETL processes. Apply infrastructure-as-code More ❯

SQL and experienced with various database technologies. Knowledge of Python or Java, with the ability to leverage either in building scalable solutions. Experience with Airflow & other big data technologies is useful. Familiarity with DevOps practices and tools, including CI/CD pipelines. Previous experience with reporting tools is helpful More ❯

functional teams Tech You'll Work With ML & Data Science Python (primary language) TensorFlow, PyTorch, or Keras NumPy, pandas Data pipelines (Azure Data Factory, Airflow, etc.) Applied ML: NLP, CV, transformers, GANs, time series, etc. Engineering & Cloud Azure (or similar cloud platforms like AWS, GCP) Microservices and event-driven More ❯

for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud data platform More ❯

for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud data platform More ❯

for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud data platform More ❯

to enhance scalability and efficiency. Collaboration & Leadership : Work closely with software and AI engineering teams while mentoring junior engineers. Legacy Workflow Integration : Manage ArgoCD, Airflow, Jenkins, Bitbucket, and Bamboo pipelines. Technical Ownership : Act as a tech owner for software products, liaising with stakeholders and presenting cloud solutions. Continuous Learning More ❯

in data pipelines across cloud/on-premises, using Azure and other technologies. Experienced in orchestrating data workflows and Kubernetes clusters on AKS using Airflow, Kubeflow, Argo, Dagster or similar. Skilled with data ingestion tools like Airbyte, Fivetran, etc. for diverse data sources. Expert in large-scale data processing More ❯

So they offer very flexible working arrangements through both WFH options and flexi working hours. Experience required... Expert in Snowflake Strong DBT experience Strong Airflow experience Expert knowledge and understanding of Data Warehousing Strong AWS experience More ❯

Semantic Kernel, and tools such as MS tooling, Co-Pilot Studio, ML Studio, Prompt flow, Kedro, etc. Proficiency with pipeline orchestration tools, such as Airflow, Kubeflow, and Argo. Outstanding communication skills, combining subject matter expertise with a flair for statistics. A results-driven attitude, a passion for innovation, and More ❯

Tomcat, UNIX tools, Bash/sh, SQL, Python, Hive, Hadoop/HDFS, and Spark. Work within a modern cloud DevOps environment using Azure, Git, Airflow, Kubernetes, Helm, and Terraform. Demonstrate solid knowledge of computer hardware and network technologies. Experienced in writing and running SQL and Bash scripts to automate More ❯

mentor junior team members. What We’re Looking For: 5+ years in solution architecture with deep AWS expertise. Experience with Kubernetes, DevOps tools (Jenkins, Airflow, etc.), and serverless frameworks. AWS Solutions Architect Professional or Kubernetes certification is a plus. Location: Hybrid –twice a week into the Oxford, UK office More ❯

pipelines for Snowflake data workflows Automate AWS infrastructure with Terraform Deploy containers via Docker & Kubernetes (EKS) Ensure observability, performance & security Integrate tooling like dbt, Airflow, and support platform evolution Requirements 3+ years in DevOps/cloud/SRE roles Expert in AWS (EC2, IAM, Lambda, etc.) Strong in Terraform … Bash, or similar Strong team collaboration & Agile mindset Nice to Have Background in commodity trading, finance, or energy Experience with data governance, dbt, or Airflow More ❯

Hybrid Languages: English Key skills: 5+ years of Data Engineer. Proven expertise in Databricks (including Delta Lake, Workflows, Unity Catalog). Strong command of Apache Spark, SQL, and Python. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Understanding of modern data architectures (e.g., Lakehouse, ELT/… ETL pipelines). Familiarity with CI/CD pipelines and infrastructure-as-code tools (Terraform is a plus). Experience with Airflow or similar orchestration tools. Familiarity with MLflow or MLOps practices. Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery). Consulting background is a plus. Strong communication skills … Rights to work in the UK is must (No Sponsorship available) Responsibilities: Design, build, and maintain scalable and efficient data pipelines using Databricks and Apache Spark. Collaborate with Data Scientists, Analysts, and Product teams to understand data needs and deliver clean, reliable datasets. Optimize data workflows and storage (Delta More ❯

a modern tech stack; you'll mainly be using Python, PySpark and AWS services but will also gain skills with AWS Glue, AWS Lambda, Airflow, CI/CD and Github. You'll be working with complex data centric systems that require high levels of security to protect the identity … Data Engineer Experience with any of the following would be great but you can pick it them up on the job too: AWS Lambda, Airflow, CI/CD, Github You must be a British citizen or already hold the right to work in Dubai What's in it for More ❯