Bolton, England, United Kingdom Hybrid / WFH Options
Anson McCade
to the adoption of modern big data and containerisation technologies. Skills & Experience • Proven experience with SQL technologies (e.g. MS SQL, Oracle). • Experience with noSQL databases (e.g. MongoDB, InfluxDB, Neo4J). • Strong data exchange and processing expertise (ETL, ESB, API). • Programming experience, ideally in Python. • Understanding of big data technologies (e.g. Hadoop stack). • Knowledge of NLP and More ❯
manchester, north west england, united kingdom Hybrid / WFH Options
Anson McCade
to the adoption of modern big data and containerisation technologies. Skills & Experience • Proven experience with SQL technologies (e.g. MS SQL, Oracle). • Experience with noSQL databases (e.g. MongoDB, InfluxDB, Neo4J). • Strong data exchange and processing expertise (ETL, ESB, API). • Programming experience, ideally in Python. • Understanding of big data technologies (e.g. Hadoop stack). • Knowledge of NLP and More ❯
one or more of the following: Languages: Java, Python, JavaScript, TypeScript Frameworks: Angular, React, Vue Tools & Technologies: Docker, Kubernetes, AWS, Azure Testing Frameworks: Robot, Cypress, Cucumber Databases & Platforms: Elasticsearch, Neo4J, MERN stack Experience with framework creation and exploratory testing You should also be open to learning new technologies and approaches, with a proactive attitude toward professional growth. What's More ❯
generative AI capabilities into existing systems. As a Data Engineer, you will have: Strong experience with SQL (e.g., MS SQL, Oracle). Knowledge of NoSQL technologies (e.g., MongoDB, InfluxDB, Neo4J). Experience with data exchange and processing (ETL, ESB, APIs). Proficiency in Python or similar programming languages. Familiarity with big data frameworks (e.g., Hadoop ecosystem). Desirable Skills More ❯
scalable software solutions. Work within an agile team on applications, APIs, and services used globally. Develop in one or more core technology areas: NoSQL (MongoDB, DocumentDB) Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. More ❯
scalable software solutions. Work within an agile team on applications, APIs, and services used globally. Develop in one or more core technology areas: NoSQL (MongoDB, DocumentDB) Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. More ❯
warrington, cheshire, north west england, united kingdom
La Fosse
scalable software solutions. Work within an agile team on applications, APIs, and services used globally. Develop in one or more core technology areas: NoSQL (MongoDB, DocumentDB) Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. More ❯
bolton, greater manchester, north west england, united kingdom
La Fosse
scalable software solutions. Work within an agile team on applications, APIs, and services used globally. Develop in one or more core technology areas: NoSQL (MongoDB, DocumentDB) Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. More ❯
have the opportunity to work with a modern and varied tech stack, including: Backend: Java, Python Frontend: TypeScript, React, Angular, Vue Cloud & Infrastructure: AWS, Azure, Docker, Kubernetes Data: Elasticsearch, Neo4J About You (The Ideal Candidate): A technically curious and adaptable software engineer with experience across modern technology stacks. Proven experience in software engineering; background in secure or regulated environments More ❯
A fast-growing technology business is developing advanced software for accounting, payroll, tax, and practice management. With a strong engineering foundation and a clear commercial vision, the company is now expanding its focus on artificial intelligence to transform how professional More ❯
