51 to 75 of 149 Scala Jobs in London

Experience in Cloud Data Pipelines Building cloud data pipelines involves using Azure native programming techniques such as PySpark or Scala and Databricks. These pipelines are essential for tasks like sourcing, enriching, and maintaining structured and unstructured data sets for analysis and reporting. They are also crucial for secondary tasks such as flow pipelines, streamlining AI model performance, and enhancing interaction More ❯

Strong understanding of front-office trading , risk , or market data (not back-office finance or regulatory reporting). Proficiency in SQL and at least one programming language (e.g., Python, Scala). Experience with BI tools such as Power BI, Tableau, or Qlik. Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and modern data architectures. Desirable: Background in financial services, particularly More ❯

in designing and implementing data warehousing solutions using Snowflake and AWS. The ideal candidate must have: Strong experience as an AWS Data Engineer Software Engineering background Coding lanuguages Java, Scala, C# or Python Lead the design and implementation of Snowflake and Redshift based data warehousing solutions within an AWS environment Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB More ❯

in designing and implementing data warehousing solutions using Snowflake and AWS. The ideal candidate must have: Strong experience as an AWS Data Engineer Software Engineering background Coding lanuguages Java, Scala, C# or Python Lead the design and implementation of Snowflake [and Redshift] based data warehousing solutions within an AWS environment Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB More ❯

per week in the office. What You'll Need to Succeed You'll bring 5+ years of data engineering experience, with expert-level skills in Python and/or Scala, SQL, and Apache Spark. You're highly proficient with Databricks and Databricks Asset Bundles, and have a strong understanding of data transformation best practices. Experience with GitHub, DBT, and handling More ❯

trusted, impactful products. (Strong plus) Background in product safety or moderation platforms. (Strong plus) Familiar with DevOps and CI/CD pipelines. Tech Stack Python (required) Rust (strongly preferred) Scala (familiarity preferred) RESTful APIs, gRPC Microservices, Docker, Kubernetes SQL/NoSQL databases Major cloud service providers (CSPs) or on-prem deployments Interview Process After submitting your application, the team reviews More ❯

kowledge of security and compliance standards (e.g., HIPAA, GDPR) - Experience with AWS AI/ML services (SageMaker, Bedrock, Amazon Q), SQL and at least one programming language (Python, Java, Scala) - Experience in AWS analytics & Generative AI services (e.g., Redshift, EMR, Glue, Athena, QuickSight, Bedrock, Q Developer) Understanding of AI/ML governance and responsible AI practices Our inclusive culture empowers More ❯

Ability to articulate the challenges faced in large data transformation and proposing solutions to deliver effective value across the business Some hands-on coding experience with SQL, Python or Scala, data visualisation tools would be advantageous Relevant experience in Data Platform Technologies would be beneficial Previous consulting experience would be a plus, but so would the curiosity and ambition to More ❯

other's backs, acting with purpose while having sustainability and cost in mind through thinking thrift. Bonus points if: You are familiar with any one of the following technologies : Scala, Python Swift ( iOS), React or Typescript. You are familiar with observability, tracking and data pipeline tools and methodologies Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access More ❯

Senior Data Engineer Location: London, UK (3 days in the office) SC Cleared: Required Essential Skills & Experience: 10+ years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks. Strong proficiency in Python More ❯

and fostering a culture of continuous learning and delivery excellence. Bonus Points For: Previous consultancy or professional services experience. Hands-on experience with additional programming languages like Python, Ruby, Scala, or PHP. Exposure to cloud platforms and infrastructure-as-code within test environmenWhat's in It for You? We reward leadership and initiative with a package that reflects your impact More ❯

of the team Your background: 7+ years experience building and developing backend applications. Senior-level experience with one or more prominent languages such as Java, Python, Kotlin, Go, or Scala is nice to have. Understanding of SaaS, PaaS, IaaS industry with hands-on experience with public cloud offerings (e.g., AWS, GCP, Azure). Fluency in any one database technology (e.g. More ❯

contributions to the success of both the team and the organization. Nice to Have: Experience with Docker and Kubernetes. Familiarity with Grafana and other monitoring tools. Prior experience with Scala and Java is an advantage. What we offer You will have the chance to be involved in something impactful, large-scale, and meaningful. Most importantly, you will be part of More ❯

Science, Engineering, or related field 5+ years of professional software development experience Experience designing and delivering highly-available, scalable cloud-based systems Development experience in languages such as Java, Scala, Go, C++, or similar Experience with frontend technologies, especially React, and a solid understanding of general web development practices Experience working with SQL or NoSQL data stores Experience using Docker More ❯

long-term customer success. Skilled in identifying and prioritising key use cases, resource allocations, and investment focus. Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark. Hands-on expertise with complex proofs-of-concept and public cloud platform(s). Know how to provide technical solutions for More ❯

teams Excellent communication and interpersonal skills, with the ability to collaborate effectively across departments Strong project management and organisational skills Proficiency in programming languages such as Python, Java, or Scala, and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn Experience with large-scale distributed systems and big data technologies (e.g., Spark, Hadoop, Kafka) Accommodation requests If you need More ❯

least three of: Spark, Hadoop ecosystem, orchestration frameworks, MPP databases, NoSQL, streaming technologies, data catalogs, BI and visualization tools - Proficiency in at least one programming language (e.g., Python, Java, Scala), infrastructure as code, cloud platforms, and SQL. PREFERRED QUALIFICATIONS - Experience in a lead Data Architect role or similar Masters or PhD in Computer Science, Physics, Engineering or Math. - Hands on More ❯

grade Data/AI platforms. This includes working knowledge of ETL, data governance, streaming architectures, Open Table Formats, etc. - Proficiency in at least one programming language (e.g., Python, Java, Scala, etc.) plus SQL. CI/CD experience and working knowledge of API development. - Ability to lead technical teams and facilitating discussions regarding technical/architectural trade-offs, best practices and More ❯

trading systems, ensuring reliability, performance, and alignment with business needs. WHAT YOU'LL BRING: 8+ years of software engineering experience, with strong proficiency in Java or similar languages (Golang, Scala, etc.). Proven track record building large-scale, low-latency distributed systems in trading or financial environments. Deep understanding of data streaming, order management systems, and modern persistence technologies (e.g. More ❯

why our consideration is not limited by the level of education you have. • You are proficient in one or more of the following programming languages: C#, Python, SQL, or Scala (and willing to learn those you do not know). • You have a solid understanding cloud computing. • You have additional nice-to-have experience in the following areas: database engines More ❯

architecture , end-users, data product owners, and enablement teams, to promote these through regular knowledge sharing sessions. Accountable for operational efficiency - drive improvements in efficien cy , reliab ility , and scala bility supported by logging , monitoring and observability as a foundational capability. Responsible for adoption - promote the platform capabilities through technical communities of practice leadership, high internal standards for documented processes More ❯

Join Europe's leading, high-growth Google Cloud consultancy. At Qodea, you'll be part of a team energised by innovation and passionate about delivering exceptional results. We craft cutting-edge solutions in data and analytics, AI, cloud infrastructure and More ❯

Job Description Description Luton/Hybrid Company When it comes to innovation and achievement there are few organisations with a better track record. Join us and you'll be able to play a big part in the success of our More ❯

on expertise in modern data engineering practices, cloud data platform and full data lifecycle. - Strong programming skills would be ideal for this position, languages such as Python, Java or Scala with Data pipeline frameworks and cloud infrastructure (AWS or Azure). - A proven track record of delivering innovative, data driven products from concept to production, ideally in a regulated industry. More ❯

on expertise in modern data engineering practices, cloud data platform and full data lifecycle. - Strong programming skills would be ideal for this position, languages such as Python, Java or Scala with Data pipeline frameworks and cloud infrastructure (AWS or Azure). - A proven track record of delivering innovative, data driven products from concept to production, ideally in a regulated industry. More ❯