51 to 75 of 84 Apache Airflow Jobs in the South East

Databricks/Snowflake, ideally on AWS Strong Python experience, including deep knowledge of the Python data ecosystem, with hands-on expertise in Spark and Airflow Hands-on experience in all phases of data modelling from conceptualization to database optimization supported by advanced SQL skills Hands-on Experience with implementing 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 ❯

patterns and delivery practices Continually improve with our internal development program, including mentoring and paid training/certifications Skills Data Modelling - SQLDBM Snowflake AWS Airflow DBT Note: Experience in the energy industry is highly advantageous. More ❯

commodities markets (e.g., oil, gas). The PM is keen to get someone from a data engineering background. Tech: Python, SQL, Pandas, AWS, ETL, Airflow Please apply if this fits. More ❯

years of commercial experience as a Data Engineer. Proven experience using Python, Spark, AWS & Databricks. Prior experience using some of the following; Docker/Airflow/Terraform. Solid experience in CI/CD and Software Engineering best practice. HOW TO APPLY Please register your interest by clicking the Apply More ❯

sources to ensure optimal value extraction. Required Skills: Proficiency in Python. Solid experience with Linux, SQL, relational databases, and version control systems. Familiarity with Airflow, Kafka, and GCP (AWS experience is also acceptable). If this sounds like you, please apply directly or reach out to Daniel O'Connell More ❯

SQL expertise designing and maintaining ETL/data pipelines ideally proficiency in multiple cloud infrastructures, databases and data warehousing solutions - AWS and GCP being Airflow 👍 Bonus points for: Experience working in a small, fast-growing start-up, comfortable navigating unstructured/fuzzy environments Experience with RudderStack, Expo and/ More ❯

modelling, and extracting value from large, disconnected datasets Familiarity with data warehouse design and modelling Familiarity with cloud data services (preferably Azure) Experience with Airflow 🛂 Please note : unfortunately, this role does not offer VISA sponsorship. 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 ❯

Data Expertise – Experience with AWS, Azure, GCP, ETL pipelines, and scalable data architectures. DevOps & CI/CD – Strong knowledge of GitOps, Kubernetes, Terraform, Jenkins, Airflow, and related tools. Strategic Thinking – Ability to drive long-term engineering strategy while delivering incremental value. Technical Debt Management – Experience identifying and remediating inefficient 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 ❯

of IAM, VPCs, networking, and cloud security A love for solving problems, sharing knowledge, and working as a team Experience with Kafka, Consul, HAProxy, Airflow, or Tableau Cloud cost optimisation and disaster recovery experience Container-first mindset and a passion for automation You'll be working on high-impact More ❯

to-Have: Experience with marketing data or customer-level models (e.g. uplift, attribution, causal inference, campaign optimization) Familiarity with MLOps tools (e.g. MLflow, FastAPI, Airflow) Exposure to A/B testing and experimentation frameworks WHY THIS ROLE IS DIFFERENT This isn’t a narrow data science role — you won More ❯

to-Have: Experience with marketing data, customer-level modelling, or decision science (e.g. uplift, attribution, causal AI, optimization) Familiarity with MLOps tooling (MLflow, FastAPI, Airflow, etc.) Experience designing and interpreting A/B tests or other experimental frameworks Background in consulting, agency, or fast-paced environments where autonomy and More ❯

sectors, and how data supports operational outcomes. Strong coding ability with SQL and Python, as well as experience working with data orchestration tools like Airflow or Dataform. Commercial experience with Spark and Databricks. Familiarity with leading integration and data platforms such as Mulesoft, Talend, or Alteryx. A natural ability More ❯

sectors, and how data supports operational outcomes. Strong coding ability with SQL and Python, as well as experience working with data orchestration tools like Airflow or Dataform. Commercial experience with Spark and Databricks. Familiarity with leading integration and data platforms such as Mulesoft, Talend, or Alteryx. A natural ability More ❯

technical foundation that enables our AI-driven workflows Skills and Qualifications Experience building end-to-end platform solutions that integrate workflow orchestration systems (like Airflow, Temporal, AWS Step Functions) with real-world business processes and data pipelines Strong background in integration engineering and data modelling Exceptional Python skills for More ❯

Master - Data Integration & Ingestion - Master - Data Manipulation and Processing - Skilled - GITHUB, Action, Azure DevOps - Skilled - Data factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest - Skilled Optional skills: - Experience in project management, running a scrum team. - Experience working with BPC, Planning. - Exposure to working with 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 ❯

Extensive Oracle Fusion and Oracle Integration Cloud Experience Oracle EBS Experience Experience of managed file transfer solutions such as Go Anywhere Knowledge of the Apache Airflow platform This is an exciting opportunity to play a pivotal role within a huge transformation while working with critical national infrastructure. If More ❯

Extensive Oracle Fusion and Oracle Integration Cloud Experience Oracle EBS Experience Experience of managed file transfer solutions such as Go Anywhere Knowledge of the Apache Airflow platform This is an exciting opportunity to play a pivotal role within a huge transformation while working with critical national infrastructure. If 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 ❯

A leading hedge fund wish to recruit a data analyst who will be responsible for back office pricing as well as time series data for trading/modelling/analysis whilst working closely with other departments within Management & Control to 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 ❯