25 of 25 Apache Jobs in the East Midlands

Data Engineer (AI-Driven SaaS Platform) Technologies: Python, Snowflake, Data Modelling, ETL/ELT, Apache Airflow, Kafka, AWS Environment: Large-scale data environment, Fully remote UK, Microservices architecture About the Role Are you a Data Engineering enthusiast who thrives on designing and implementing robust ETL processes, highly scalable data structures, and data pipelines within an enterprise-scale data processing … infrastructure background, understanding of system migrations, and experience with data warehousing concepts. Technical Skills Deep understanding of SQL and NoSQL databases (MongoDB or similar) Experience with streaming platforms like Apache Kafka Development and maintenance of ELT pipelines Knowledge of data warehousing best practices High proficiency in Apache Kafka and Apache Airflow Strong AWS experience Additional Attributes Agile More ❯

Data Engineer (AI-Driven SaaS plaform) (Python, Snowflake, Data Modelling, ETL/ELT, Apache Airflow, Kafka, AWS) Large-scale data environment Up to £70,000 plus benefits FULLY REMOTE UK Are you a Data Engineering enthusiast who thrives from designing and implementing robust ETL processes, highly scalable data structures and data pipelines within a truly enterprise-scale data processing … platform integrates Python and Snowflake and you'll need a deep understanding of SQL and NoSQL databases (MongoDB or similar!) You'll also have experience with streaming platforms like Apache Kafka and be able to develop and maintain ELT and essentially bring a solid understanding of data warehousing concepts and best practice. You will understanding Apache Kafka to … a high standard and have solid knowledge of Apache Airflow - from a Cloud perspective, you will be an AWS enthuiast! Naturally you will have good understanding on AWS. I'd love you to be an advocate of Agile too - these guys are massive on Agile Delivery and Scrum - so it's importantly you share a similar mind-set and More ❯

for data models, ETL processes, and BI solutions. Ensure data accuracy, integrity, and consistency across the data platform. Knowledge, Skills and Experience: Essentia l Strong expertise in Databricks and Apache Spark for data engineering and analytics. Proficient in SQL and Python/PySpark for data transformation and analysis. Experience in data lakehouse development and Delta Lake optimisation. Experience with More ❯

comprehensive documentation for data models, ETL processes, and BI solutions. Ensure data accuracy, integrity, and consistency across the data platform. Knowledge, Skills and Experience: Strong expertise in Databricks and Apache Spark for data engineering and analytics. Proficient in SQL and Python/PySpark for data transformation and analysis. Experience in data lakehouse development and Delta Lake optimisation. Experience with More ❯

technical and professional experience Preferred Skills: Experience working within the public sector. Knowledge of cloud platforms (e.g., IBM Cloud, AWS, Azure). Familiarity with big data processing frameworks (e.g., Apache Spark, Hadoop). Understanding of data warehousing concepts and experience with tools like IBM Cognos or Tableau. Certifications:While not required, the following certifications would be highly beneficial: Experience … working within the public sector. Knowledge of cloud platforms (e.g., IBM Cloud, AWS, Azure). Familiarity with big data processing frameworks (e.g., Apache Spark, Hadoop). Understanding of data warehousing concepts and experience with tools like IBM Cognos or Tableau. ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in More ❯

obtain UK security clearance. We do not sponsor visas. Preferred Skills and Experience Public sector experience Knowledge of cloud platforms (IBM Cloud, AWS, Azure) Experience with big data frameworks (Apache Spark, Hadoop) Data warehousing and BI tools (IBM Cognos, Tableau) Additional Details Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: IT Services and More ❯

Engineering (open to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or informal More ❯

Engineering (open to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or informal More ❯

Engineering (open to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or informal More ❯

Engineering (open to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or informal More ❯

Engineering (open to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or informal More ❯

common life sciences data acquisition 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). ZONTAL is an Equal More ❯

common life sciences data acquisition 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). ZONTAL is an Equal More ❯

common life sciences data acquisition 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). ZONTAL is an Equal More ❯

common life sciences data acquisition 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). ZONTAL is an Equal More ❯

common life sciences data acquisition 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). ZONTAL is an Equal More ❯

common life sciences data acquisition 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). ZONTAL is an Equal More ❯

must hold or be eligible to obtain DV level security clearance *** Responsibilities : Design, develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi. Implement data ingestion, transformation, and integration processes, ensuring data quality and security. Collaborate with data architects and security teams to ensure compliance with security policies and data governance … Experience working as a Data Engineer in secure or regulated environments. Expertise in the Elastic Stack (Elasticsearch, Logstash, Kibana) for data ingestion, transformation, indexing, and visualization. Strong experience with Apache NiFi for building and managing complex data flows and integration processes. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such More ❯

must hold or be eligible to obtain DV level security clearance *** Responsibilities : Design, develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi. Implement data ingestion, transformation, and integration processes, ensuring data quality and security. Collaborate with data architects and security teams to ensure compliance with security policies and data governance … Experience working as a Data Engineer in secure or regulated environments. Expertise in the Elastic Stack (Elasticsearch, Logstash, Kibana) for data ingestion, transformation, indexing, and visualization. Strong experience with Apache NiFi for building and managing complex data flows and integration processes. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such More ❯

vision software products. Expertise in back-end development - particularly Django, Flask, Python, PHP Frontend development - HTML/CSS/JavaScript Knowledge of databases (e.g., MySQL, MongoDB), web servers (e.g., Apache), and UI/UX design principles. Relevant BSc/MSc degree eg Computer Science, ML, Computer Vision or a relevant tech subject. Any experience of computer vision libraries and More ❯

computer vision algorithms into both backend & frontend Familiarity with computer vision libraries and frameworks such as OpenCV, TensorFlow, and PyTorch. Knowledge of databases (e.g., MySQL, MongoDB), web servers (e.g., Apache), and UI/UX design principles. Relevant BSc/MSc degree eg Computer Science, ML, Computer Vision or a relevant tech subject. This is a predominantly office based role More ❯

computer vision algorithms into both backend & frontend Familiarity with computer vision libraries and frameworks such as OpenCV, TensorFlow, and PyTorch. Knowledge of databases (e.g., MySQL, MongoDB), web servers (e.g., Apache), and UI/UX design principles. Relevant BSc/MSc degree eg Computer Science, ML, Computer Vision or a relevant tech subject. This is a predominantly office based role More ❯

computer vision algorithms into both backend & frontend Familiarity with computer vision libraries and frameworks such as OpenCV, TensorFlow, and PyTorch. Knowledge of databases (e.g., MySQL, MongoDB), web servers (e.g., Apache), and UI/UX design principles. Relevant BSc/MSc degree eg Computer Science, ML, Computer Vision or a relevant tech subject. This is a predominantly office based role More ❯

computer vision algorithms into both backend & frontend Familiarity with computer vision libraries and frameworks such as OpenCV, TensorFlow, and PyTorch. Knowledge of databases (e.g., MySQL, MongoDB), web servers (e.g., Apache), and UI/UX design principles. Relevant BSc/MSc degree eg Computer Science, ML, Computer Vision or a relevant tech subject. This is a predominantly office based role More ❯

experience. Experience will include a solid mix of; At least 3 years' experience of using, building and maintaining Solaris, AIX, HP-UX, SUSE or RedHat RDBMS (Oracle) Application Server (Apache, JBoss, TomCat, WebLogic) Networking fundamentals (Firewalls, Routers, TCP/IP, Load Balancers) High Availability and Clustering UNIX/LINIX Scripting Veritas Volume Manager and File System Management Virtualisation technologies More ❯