1 to 25 of 45 Remote Scala Jobs in London

GeoServer). Technical Skills: Expertise in big data frameworks and technologies (e.g., Hadoop, Spark, Kafka, Flink) for processing large datasets. Proficiency in programming languages such as Python, Java, or Scala, with a focus on big data frameworks and APIs. Experience with cloud services and technologies (AWS, Azure, GCP) for big data processing and platform deployment. Strong knowledge of data warehousing More ❯

security, compliance, and data governance standards (e.g. GDPR , RBAC) Mentor junior engineers and guide technical decisions on client engagements ✅ Ideal Experience Strong in Python and SQL , plus familiarity with Scala or Java Experience supporting AI/ML workflows and working with Data Scientists Exposure to cloud platforms: AWS , Azure , or GCP Hands-on with modern data tooling: Spark , Databricks , Snowflake More ❯

security, compliance, and data governance standards (e.g. GDPR , RBAC) Mentor junior engineers and guide technical decisions on client engagements ✅ Ideal Experience Strong in Python and SQL , plus familiarity with Scala or Java Experience supporting AI/ML workflows and working with Data Scientists Exposure to cloud platforms: AWS , Azure , or GCP Hands-on with modern data tooling: Spark , Databricks , Snowflake More ❯

Azure Data Lake Storage Azure SQL Database Solid understanding of data modeling, ETL/ELT, and warehousing concepts Proficiency in SQL and one or more programming languages (e.g., Python, Scala) Exposure to Microsoft Fabric, or a strong willingness to learn Experience using version control tools like Git and knowledge of CI/CD pipelines Familiarity with software testing methodologies and More ❯

define requirements and deliver innovative solutions Support internal capability development by sharing your expertise and experience What We're Looking For Strong hands-on experience with Python, Java, or Scala Proficiency in cloud environments (AWS, Azure, or GCP) and big data tech (Spark, Hadoop, Airflow) Solid understanding of SQL, ETL/ELT approaches, and data modelling techniques Experience building CI More ❯

driven APIs, and designing database schemas and queries to meet business requirements. A passion and proven background in picking up and adopting new technologies on the fly. Exposure to Scala, or functional programming generally. Exposure with highly concurrent, asynchronous backend technologies, such as Ktor, http4k, http4s, Play, RxJava, etc. Exposure with DynamoDB or similar NoSQL databases, such as Cassandra, HBase More ❯

as Actuarial and Finance, to help with their data presentation requirements and help deliver data for visualisation solutions, such as Power BI Key skills required: Expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows. Strong knowledge of Power BI Strong SQL experience. Familiarity with technical data structures, data More ❯

as Actuarial and Finance, to help with their data presentation requirements and help deliver data for visualisation solutions, such as Power BI Key skills required: Expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows. Strong knowledge of Power BI Strong SQL experience. Familiarity with technical data structures, data More ❯

Data Engineer - Investment Banking - London/Hybrid (Data Engineer, SQL Data Engineer, Java, Python, Spark, Scala, SQL, Snowflake, OO programming, Snowflake, Databricks, Data Fabric, design patterns, SOLID principles, ETL, Unit testing, NUnit, MSTest, Junit, Microservices Architecture, Continuous Integration, Azure DevOps, AWS, Jenkins, Agile, Data Engineer, SQL Data Engineer) We have several fantastic new roles including a Data Engineer position to More ❯

control, task tracking). Demonstrable experience writing ETL scripts and code to make sure the ETL processes perform optimally. Experience in other programming languages for data manipulation (e.g., Python, Scala). Extensive experience of data engineering and the development of data ingest and transformation routines and services using modern, cloud-based approaches and technologies. Understanding of the principles of data More ❯

control, task tracking). ·Demonstrable experience writing ETL scripts and code to make sure the ETL processes perform optimally. ·Experience in other programming languages for data manipulation (e.g., Python, Scala). ·Extensive experience of data engineering and the development of data ingest and transformation routines and services using modern, cloud-based approaches and technologies. ·Understanding of the principles of data More ❯

understanding of various data engineering technologies including Apache Spark, Databricks and Hadoop Strong understanding of agile ways of working Up-to-date understanding of various programming languages including Python, Scala, R and SQL Up-to-date understanding of various databases and cloud-based datastores including SQL and NoSQL Up-to-date understanding of cloud platforms including AWS and/or More ❯

and big data environments . Familiarity with Azure data platforms , such as Databricks, Azure Data Factory, Synapse Analytics, or ADLS . Proficiency in SQL and scripting languages (e.g., Python, Scala) for data validation and test automation. Experience with test automation frameworks (e.g., Great Expectations, DBT tests, PyTest, or similar ). Exposure to CI/CD testing within Azure DevOps, GitHub More ❯

education) in a STEM discipline. Proven experience in software engineering and development, and a strong understanding of computer systems and how they operate. Hands on Experience in Java , Spark , Scala ( or Java) Production scale hands-on Experience to write Data pipelines using Spark/any other distributed real time/batch processing. Strong skill set in SQL/Databases Strong More ❯

Azure DevOps). Excellent communication and stakeholder management skills. Bonus Points for: Previous experience in a consultancy environment . Hands-on coding experience in additional languages like Python, Ruby, Scala, PHP, or C++ . Knowledge of performance testing tools like JMeter, Gatling, K6 or Neoload. What's in It for You? At Ten10, we believe in recognizing and rewarding great 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 ❯

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 ❯

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 ❯

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 ❯

experience with Agile processes and TDD You have a thorough understanding of Computer Science fundamentals such as OOP, Design Patterns, Data Structures, Algorithms Other tech in the stack includes Scala, React, Spring, Oracle, Redis, Kubernetes, Docker and Linux so previous exposure to any of these would be beneficial You're collaborative with good communication skills What's in it for More ❯

machine learning, theory, and practice You are comfortable explaining the intuition and assumptions behind ML concepts You have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languagesExperience with TensorFlow or Pytorch You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your More ❯

Experienced in building and running a large platform at scale Strong distributed systems skills and knowledge Strong system architecture skills Knowledge of other modern, functional languages (e.g. Haskell, Clojure, Scala) Solid understanding of REST-ful design Experience with containers and Kubernetes Development experience of at least one public cloud provider If you are actively coding, have a passion for Generative More ❯

while growing the ability to work effectively across both. Experience with processing large-scale transactional and financial data, using batch/streaming frameworks like Spark, Flink, or Beam (with Scala for data engineering), and building scalable backend systems in Java. You possess a foundational understanding of system design, data structures, and algorithms, coupled with a strong desire to learn quickly More ❯