1 to 25 of 184 Apache Airflow Jobs in London

Front End ability (Vue, React or Angular good but not necessary) Agile The following is DESIRABLE, not essential: AWS or GCP Buy-side Data tools such as Glue, Athena, Airflow, Ignite, DBT, Arrow, Iceberg, Dremio Fixed Income performance, risk or attribution TypeScript and Node Role: Python Developer (Software Engineer Programmer Developer Python Fixed Income JavaScript Node Fixed Income Credit … the team to be in the office 1-2 times a week. The tech environment is very new and will soon likely include exposure to the following: Glue, Athena, Airflow, Ignite, DBT, Arrow, Iceberg, Dremio This is an environment that has been described as the only corporate environment with a start-up/fintech attitude towards technology. Hours are More ❯

with clients - Collaborating with cross-functional teams to deploy and operate solutions in production - Supporting real-time and near-real-time data analytics initiatives - Leveraging orchestration tools such as Airflow, Dagster, Azure Data Factory or Fivetran Required qualifications to be successful in this role - Solid experience designing and delivering Snowflake-based data warehouse solutions - Strong background performing architectural assessments … Python, Java or Scala - Hands-on experience using DBT for pipeline development and transformation - Familiarity with cloud platforms such as AWS, Azure or GCP - Knowledge of orchestration tooling (e.g., Airflow, Dagster, Azure Data Factory, Fivetran) Desirable: - Experience deploying AI/ML models in production environments - Familiarity with AWS data services (e.g., S3, Glue, Kinesis, Athena) - Exposure to real-time More ❯

Experience in using modern data architectures, such as lakehouse. Experience with CI/CD pipelines and version control systems like Git. Knowledge of ETL tools and technologies such as Apache Airflow, Informatica, or Talend. Knowledge of data governance and best practices in data management. Familiarity with cloud platforms and services such as AWS, Azure, or GCP for deploying … and managing data solutions. Strong problem-solving and analytical skills with the ability to diagnose and resolve complex data-related issues. SQL (for database management and querying) Apache Spark (for distributed data processing) Apache Spark Streaming, Kafka or similar (for real-time data streaming) Experience using data tools in at least one cloud service - AWS, Azure or GCP More ❯

data architectures, such as lakehouse. Experience with CI/CD pipelines, version control systems like Git, and containerization (e.g., Docker). Experience with ETL tools and technologies such as Apache Airflow, Informatica, or Talend. Strong understanding of data governance and best practices in data management. Experience with cloud platforms and services such as AWS, Azure, or GCP for … deploying and managing data solutions. Strong problem-solving and analytical skills with the ability to diagnose and resolve complex data-related issues. SQL (for database management and querying) Apache Spark (for distributed data processing) Apache Spark Streaming, Kafka or similar (for real-time data streaming) Experience using data tools in at least one cloud service - AWS, Azure or More ❯

building production data pipelines Advanced Python skills (NumPy, Pandas, SQL Alchemy) and expert-level SQL across multiple database platforms Hands-on experience with modern data stack tools including dbt, Airflow, and cloud data warehouses (Snowflake, BigQuery, Redshift) Strong understanding of data modelling, schema design, and building maintainable ELT/ETL pipelines Experience with cloud platforms (AWS, Azure, GCP) and More ❯

systems, with a focus on data quality and reliability. Design and manage data storage solutions, including databases, warehouses, and lakes. Leverage cloud-native services and distributed processing tools (e.g., Apache Flink, AWS Batch) to support large-scale data workloads. Operations & Tooling Monitor, troubleshoot, and optimize data pipelines to ensure performance and cost efficiency. Implement data governance, access controls, and … ELT pipelines and data architectures. Hands-on expertise with cloud platforms (e.g., AWS) and cloud-native data services. Comfortable with big data tools and distributed processing frameworks such as Apache Flink or AWS Batch. Strong understanding of data governance, security, and best practices for data quality. Effective communicator with the ability to work across technical and non-technical teams. … Additional Strengths Experience with orchestration tools like Apache Airflow. Knowledge of real-time data processing and event-driven architectures. Familiarity with observability tools and anomaly detection for production systems. Exposure to data visualization platforms such as Tableau or Looker. Relevant cloud or data engineering certifications. What we offer: A collaborative and transparent company culture founded on Integrity, Innovation and More ❯

Snowflake Expertise with common Software Engineering languages such as Python, Scala, Java, SQL and a proven ability to learn new programming languages Experience with workflow orchestration tools such as Airflow Detailed problem-solving approach, coupled with a strong sense of ownership and drive A passionate bias to action and passion for delivering high-quality data solutions Deep understanding of … certification/s Strong data visualizations skills to convey information and results clearly Experience with DevOps tools such as Docker, Kubernetes, Jenkins, etc. Experience with event messaging frameworks like Apache Kafka The hiring range for this position in Santa Monica, California is $136,038 to $182,490 per year, in Glendale, California is $136,038 to $182,490 per More ❯

retrieval and pipeline development Experience with IaC tools such as Terraform or Ansible for deployment and infrastructure management Hands-on experience with; ETL/ELT orchestration and pipeline tools (Airflow, Airbyte, DBT, etc.) Data warehousing tools and platforms (Snowflake, Iceberg, etc.) SQL databases, particularly MySQL Desired Experience: Experience with cloud-based services, particularly AWS Proven ability to manage stakeholders More ❯

Strong knowledge of algorithms, design patterns, OOP, threading, multiprocessing, etc. Experience with SQL, NoSQL, or tick databases Experience working in a Unix environment and git Familiarity with Kafka, Docker, AirFlow, Luigi Strong communication skills in verbal and written English. Domain knowledge in futures & swaps is a plus Highly competitive compensation and bonus structure Meritocratic environment with ample opportunity for More ❯

Cloud Data Warehouse - Snowflake AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda Data Governance & Quality - Collate & Monte Carlo Infrastructure as Code - Terraform Data Integration & Transformation - Python, DBT, Fivetran, Airflow CI/CD - Github Actions/Jenkins Nice to Have Experience Understanding of various data architecture paradigms (e.g., Data Lakehouse, Data Warehouse, Data Mesh) and their applicability to different More ❯

Cloud Data Warehouse - Snowflake AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda Data Governance & Quality - Collate & Monte Carlo Infrastructure as Code - Terraform Data Integration & Transformation - Python, DBT, Fivetran, Airflow CI/CD - Github Actions/Jenkins Business Intelligence - Looker Skills & Attributes We'd Like To See: Extensive experience in data engineering, including designing and maintaining robust data pipelines. More ❯

Azure). Familiarity with version control (Git) and modern deployment workflows Excellent problem-solving skills and ability to resolve data issues quickly and effectively Experience with data pipeline orchestration (Airflow or similar is a plus) Nice-to-have experience: Exposure to other parts of the modern data stack (e.g., Fivetran, dbt Metrics Layer, Tableau) Experience in CI/CD More ❯

x Contract Data Engineers - Snowflake/AWS/Python/Airflow/Iceberg Location: London (Hybrid - 3 days per week onsite) Duration: 6 months Day Rate: £550 - £600 (Inside IR35) A highly reputable consultancy is seeking 2 x Contract Data Engineers to join their data team on a 6-month engagement. You will play a key role in building … and reporting capabilities. Key Skills & Experience: Strong experience with Snowflake data warehousing Solid AWS cloud engineering experience Proficient in Python for data engineering workflows Skilled in building and maintaining Airflow DAGs Familiarity with Apache Iceberg for table format and data lake optimisation If this could be of interest, please get in touch with Alex Lang at iO Associates More ❯

in the office in average. In this role you will be working within a new, greenfield division of the business, using a brand-new technology stack including Snowflake, dbt, Airflow and AWS. This function provide data for Machine Learning and Artificial Intelligence capabilities, helping them to provide the best possible service offering to their customers. You'll work on … a strong financial backing, and the chance to make a real impact! We're looking for the following experience: Extensive hands-on experience with Snowflake Extensive experience with dbt, Airflow, AWS and Terraform Exellent scripting skills in SQL Experience developing solutions entirely from scratch Great communication skills, with the ability to understand and translate complex requirements into technical solutions More ❯

in the office in average. In this role you will be working within a new, greenfield division of the business, using a brand-new technology stack including Snowflake, dbt, Airflow and AWS. This function provide data for Machine Learning and Artificial Intelligence capabilities, helping them to provide the best possible service offering to their customers. You'll work on … a strong financial backing, and the chance to make a real impact! We're looking for the following experience: Extensive hands-on experience with Snowflake Extensive experience with dbt, Airflow, AWS and Terraform Exellent scripting skills in SQL Experience developing solutions entirely from scratch Great communication skills, with the ability to understand and translate complex requirements into technical solutions More ❯

and DataOps as well as System engineers to support both data and application integrations using bespoke tools written in Python/Java, as well as tools such as Meltano, Airflow, Mulesoft/Snaplogic, Apache NIFI, and Kafka, ensuring a robust, well-modelled, and scalable data analytics infrastructure running on MySQL and Postgres style databases primarily. Requirements: Advanced SQL … compliance) Proficiency in ELT/ETL processes Strong experience in data ingestion, transformation & orchestration technology (ETL tools such as Informatica, Datastage, SSIS, etc ) or open source Meltano, Airbyte, and Airflow Proven experience with DBT (data build tool) Proficiency with business intelligence tools (Power BI, Tableau, SAP BI, or similar). Integration & Programming Hands-on experience with API development and … integration (REST/SOAP) Proficiency in at least 1 object/procedural/functional language (e.g: Java, PHP, Python) Familiarity with EAI tools such as MuleSoft/SnapLogic or Apache NiFi Experience with infrastructure-as-code tools such as Terraform and Ansible Experience with version control (e.g. Git, SVN) and CI/CD workflows for deployment Experience scraping external More ❯

and make a meaningful impact at Tenzo. This role offers the chance to learn how our product integrates and interacts with external systems, partners, and platforms. Our Tech Stack: Apache Airflow Python Django AWS (S3, RDS withPostgresql, ElastiCache, MSK, EC2, ECS, Fargate, Lamda etc.) Snowflake Terraform CircleCI Your mission Support the design and development of data pipelines, learning … and automation ( Must have ) Fundamental knowledge of SQL and exposure to relational databases such as PostgreSQL ( Highly desirable ) Interest in learning data pipeline and workflow management tools such as Apache Airflow ( Nice to have ) Basic proficiency in Git ( Important ) Eagerness to learn how to write high-quality code, technical documentation, aand production plans ( Important ) Basic understanding of data More ❯

and make a meaningful impact at Tenzo. This role offers the chance to learn how our product integrates and interacts with external systems, partners, and platforms. Our Tech Stack: Apache Airflow Python Django AWS (S3, RDS withPostgresql, ElastiCache, MSK, EC2, ECS, Fargate, Lamda etc.) Snowflake Terraform CircleCI Your mission Support the design and development of data pipelines, learning … and automation ( Must have ) Fundamental knowledge of SQL and exposure to relational databases such as PostgreSQL ( Highly desirable ) Interest in learning data pipeline and workflow management tools such as Apache Airflow ( Nice to have ) Basic proficiency in Git ( Important ) Eagerness to learn how to write high-quality code, technical documentation, aand production plans ( Important ) Basic understanding of data More ❯

TransferGo. Our products are recognised by industry leaders like Gartner's Magic Quadrant, Forrester Wave and Frost Radar. Our tech stack: Superset and similar data visualisation tools. ETL tools: Airflow, DBT, Airbyte, Flink, etc. Data warehousing and storage solutions: ClickHouse, Trino, S3. AWS Cloud, Kubernetes, Helm. Relevant programming languages for data engineering tasks: SQL, Python, Java, etc. What you … methodologies. Collaborating with stakeholders to define data strategies, implement data governance policies, and ensure data security and compliance. About you: Strong technical proficiency in data engineering technologies, such as Apache Airflow, ClickHouse, ETL tools, and SQL databases. Deep understanding of data modeling, ETL processes, data integration, and data warehousing concepts. Proficiency in programming languages commonly used in data More ❯

Skills: Proven expertise in designing, building, and operating data pipelines, warehouses, and scalable data architectures. Deep hands-on experience with modern data stacks. Our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform. Experience with similar technologies is essential. Coaching & Growth Mindset: Passion for developing More ❯

Skills: Proven expertise in designing, building, and operating data pipelines, warehouses, and scalable data architectures. Deep hands-on experience with modern data stacks. Our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform. Experience with similar technologies is essential. Coaching & Growth Mindset: Passion for developing More ❯

containerization and CI/CD tools (e.g., Docker, GitHub Actions). Knowledge of networking and cloud infrastructure (e.g., AWS, Azure). Experience with modern data processing frameworks (e.g., dbt, Apache Airflow, Spark, or similar). Requirements A strong focus on system observability and data quality. Emphasis on rapid scalability of solutions ( consider market ramp up when entering a More ❯

in data platform evolution Has experience (or strong interest) in building real-time or event-driven architectures ️ Modern Data Stack Includes: Python , SQL Snowflake , Postgres AWS (S3, ECS, Terraform) Airflow , dbt , Docker Apache Spark , Iceberg What they're looking for: Solid experience as a Senior/Lead/Principal Data Engineer, ideally with some line management or mentoring More ❯

Computer Science, Engineering, or a related field, or equivalent industry experience. Preferred Qualifications Experience or interest in mentoring junior engineers. Familiarity with data-centric workflows and pipeline orchestration (e.g., Apache Airflow). Proficiency in data validation, anomaly detection, or debugging using tools like Pandas, Polars, or data.table/R. Experience working with AWS or other cloud platforms. Knowledge More ❯

with interface/API data modeling. Knowledge of CI/CD tools like GitHub Actions or similar. AWS certifications such as AWS Certified Data Engineer. Knowledge of Snowflake, SQL, Apache Airflow, and DBT. Familiarity with Atlan for data cataloging and metadata management. Understanding of iceberg tables. Who we are: We're a global business empowering local teams with More ❯