1 to 25 of 30 Apache Jobs in Edinburgh

communication skills and demonstrated ability to engage with business stakeholders and product teams. Experience in data modeling , data warehousing (e.g., Snowflake , AWS Glue , EMR , Apache Spark ), and working with data pipelines . Leadership experience—whether technical mentorship, team leadership, or managing critical projects. Familiarity with Infrastructure as Code (IaC More ❯

documentation base, as well as contribute to it Strong software engineering, systems architecture, and unit testing capabilities and experience using pipeline tools such as Apache Airflow, Amazon SageMaker, or similar Familiarity with SQL and experience with AWS or other cloud providers Experience with GitLab CI/CD pipelines for More ❯

with tools and packages like Pandas, NumPy, scikit-learn, Plotly/Matplotlib, and Jupyter Notebooks. Knowledge of ML-adjacent technologies, including AWS SageMaker and Apache Airflow. Proficiency in data pre-processing, data wrangling, and augmentation techniques. Experience with cloud platforms (e.g. AWS, Google Cloud, or Azure) for deploying scalable More ❯

science, engineering, mathematics or a related technical field Experience with object-oriented programming preferred General familiarity with some of the technologies we use: Python, Apache Spark/PySpark, Java/Spring Amazon Web Services SQL, relational databases Understanding of data structures and algorithms Interest in data modeling, visualisation, and More ❯

science, engineering, mathematics or a related technical field Experience with object-oriented programming preferred General familiarity with some of the technologies we use: Python, Apache Spark/PySpark, Java/Spring Amazon Web Services SQL, relational databases Understanding of data structures and algorithms Interest in data modeling, visualisation, and More ❯

beneficial for interpreting existing scripts) Cloud & Infrastructure: AWS services including Lambda, API Gateway, S3, CloudWatch, Kinesis Firehose Terraform for infrastructure as code Orchestration & Transformation: Apache Airflow dbt CRM & Marketing Tools: Braze (preferred) Familiarity with other CRM/marketing automation tools such as Iterable or Salesforce Marketing Cloud is a More ❯

Skills: x5 + experience with Python programming for data engineering tasks Strong proficiency in SQL and database management Hands-on experience with Databricks and Apache Spark Familiarity with Azure cloud platform and related services Knowledge of data security best practices and compliance standards Excellent problem-solving and communication skills More ❯

general analytics use case. Additionally, having experience with Kubernetes or other platforms for containerized applications as well as working with orchestration systems such as Apache Airflow would be essential to succeed in this role. The ideal candidate for this role would need to have proficiency in programming languages (Python More ❯

in ETL, data modelling, and Azure Data Services. Experience in designing and implementing data pipelines, data lakes, and data warehouses. Hands-on experience with Apache Spark and bonus points for Microsoft Fabric. Any certifications are a bonus. Hybrid work once a week into their Edinburgh office Learning and Development More ❯

salesforce, hubspot, SaaS, data lakes, apis, adtech, GDPR, CCPA, B2B, Sales Consultant, Account Manager, DataOps, CICD, DevOPs, CI/CD, GenAI, RAG, AWS, Azure, Apache, Spark, Kafka – UK Wide - £80,000-£95,000 + OTE Our large Microsoft Partner client requires a Senior Data Analytics Sales Consultant to help More ❯

in ETL, data modelling, and Azure Data Services. Experience in designing and implementing data pipelines, data lakes, and data warehouses. Hands-on experience with Apache Spark and bonus points for Microsoft Fabric. Any certifications are a bonus. Benefits: Competitive base salary Hybrid work once a week into their Edinburgh More ❯

in ETL, data modelling, and Azure Data Services. Experience in designing and implementing data pipelines, data lakes, and data warehouses. Hands-on experience with Apache Spark and bonus points for Microsoft Fabric. Any certifications are a bonus. Hybrid work once a week into their Edinburgh office Learning and Development More ❯

software, such as Scientific Data Management Systems (SDMS) or Laboratory Information Management Systems (LIMS). Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow) and data parsing. Familiarity with cloud service models, SaaS infrastructure, and related SDLC. Familiarity with containerization and container orchestration tools (e.g., Docker, Kubernetes More ❯

advanced statistics, data sciences, coding/scripting languages (Python, JS, etc), and databases (SQL, etc) Strength in data analytics and visualisation (Looker Studio, Tableau, Apache Superset, etc) Ability to translate business questions to key research objectives Ability to identify the best methodology to execute research, synthesise and analyse findings More ❯

technical and/or professional solutions. It would be great if you also had... Understanding of OIC and application integrations Good working knowledge of Apache Groovy About working for us... Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates More ❯

AWS, or Azure. Experience with CI/CD pipelines for machine learning (e.g., Vertex AI). Experience with data processing frameworks and tools, particularly Apache Beam/Dataflow is highly desirable. Knowledge of monitoring and maintaining models in production. Proficiency in employing containerization tools, including Docker, to streamline the More ❯

Networking troubleshooting skills, including TCP/IP, OSI model, firewalls, IP addressing, SNMP, Syslog, ICMP, SSH, REST API, Webhooks Experience with Linux services like Apache and nginx, and deploying Linux-based applications Experience with appliance-type applications support Desirable Skills: ITIL Foundation certification Knowledge of TACACS+ and ITSM systems More ❯

experience with ML frameworks (PyTorch, TensorFlow, Keras). Proficiency in Python and C/C++. Experience with scalable data tools (e.g., PySpark, Kubernetes, Databricks, Apache Arrow). Proven ability to manage GPU-intensive data processing jobs. 4+ years of applied research or industry experience. Creative problem-solver with a More ❯

or the UK. Design and build a cloud-native analytical database system optimised for sparse, wide, and multimodal logs. Work with technologies like Rust, Apache Arrow, and Datafusion to build scalable, low-latency systems. Collaborate on every part of the stack—from data ingestion and indexing to query planning More ❯

of advanced statistics, data science, coding/scripting languages (Python, JS), and databases (SQL) Strength in data analytics and visualization tools (Looker Studio, Tableau, Apache Superset) Ability to translate business questions into research objectives Ability to select appropriate research methodologies and analyze findings Excellent writing and communication skills Resilience More ❯

technical and/or professional solutions. It would be great if you also had Understanding of OIC and application integrations Good working knowledge of Apache Groovy About working for us Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates More ❯

processes. Technical Skills Programming: Proficiency in Python, Java, Scala, or similar languages. Big Data Technologies: Hands-on experience with big data tools e.g. (Databricks, Apache Spark, Hadoop). Cloud Platforms: Familiarity with AWS, Azure, GCP, or other cloud ecosystems for data engineering tasks. Expertise in relational databases (e.g. postgres … sql server) Data Integration Tools: Knowledge of platforms like Airflow, Apache NiFi, or Talend. Data Storage and Modelling: Experience with data warehousing tools (e.g. Snowflake, Redshift, BigQuery) and schema design. Version Control and CI/CD: Familiarity with Git, Docker, and CI/CD pipelines for deployment. Experience 2+ More ❯

processes. Technical Skills Programming: Proficiency in Python, Java, Scala, or similar languages. Big Data Technologies: Hands-on experience with big data tools e.g. (Databricks, Apache Spark, Hadoop). Cloud Platforms: Familiarity with AWS, Azure, GCP, or other cloud ecosystems for data engineering tasks. Expertise in relational databases (e.g. postgres … sql server) Data Integration Tools: Knowledge of platforms like Airflow, Apache NiFi, or Talend. Data Storage and Modelling: Experience with data warehousing tools (e.g. Snowflake, Redshift, BigQuery) and schema design. Version Control and CI/CD: Familiarity with Git, Docker, and CI/CD pipelines for deployment. Experience 2+ More ❯

open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may More ❯

Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/… years’ experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Designing More ❯