City of London, London, United Kingdom Hybrid/Remote Options
Opus Recruitment Solutions
frameworks, and cloud-based data platforms (AWS, Azure, or GCP). Proven track record in credit risk modelling, fraud analytics, or similar financial domains. Familiarity with big data technologies (Spark, Hive) and MLOps practices for production-scale deployments. Excellent communication skills to engage stakeholders and simplify complex concepts. Desirable Extras Experience with regulatory frameworks (e.g., Basel, GDPR) and model More ❯
cloud adoption, resiliency engineering, and operational observability. Drive technical governance, platform strategy, and roadmap decisions for Operations Technology. Provide hands-on guidance for distributed systems development using Akka, Kafka, Spark, and related technologies. Support delivery teams with architecture reviews, performance tuning, and integration patterns across upstream and downstream platforms. Required Skills & Experience Expert-level experience with Scala and functional More ❯
Edinburgh, Scotland, United Kingdom Hybrid/Remote Options
Cathcart Technology
driven approach. They foster a collaborative, forward-thinking culture where engineers work on large-scale datasets, distributed systems, and modern cloud platforms. Teams leverage cutting-edge tools such as Spark, Airflow, Kafka, dbt, and Databricks to build resilient, scalable, and high-quality data solutions. Why this role? ** Lead a talented team of data engineers delivering high-quality, reliable data More ❯
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid/Remote Options
Cathcart Technology
driven approach. They foster a collaborative, forward-thinking culture where engineers work on large-scale datasets, distributed systems, and modern cloud platforms. Teams leverage cutting-edge tools such as Spark, Airflow, Kafka, dbt, and Databricks to build resilient, scalable, and high-quality data solutions. Why this role? ** Lead a talented team of data engineers delivering high-quality, reliable data More ❯
infrastructure-as-code Docker; Kubernetes (EKS, GKE, AKS); Jenkins, GitLab CI, or GitHub Actions; Terraform or CloudFormation; Prometheus, Grafana, Datadog, or New Relic; Slurm, Torque, LSF; MPI; Hadoop or Spark;Director of In Experience with high-performance computing, distributed systems, and observability tools Strong communication and executive presence, with the ability to translate complex technical concepts for diverse audiences More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Harnham
infrastructure-as-code Docker; Kubernetes (EKS, GKE, AKS); Jenkins, GitLab CI, or GitHub Actions; Terraform or CloudFormation; Prometheus, Grafana, Datadog, or New Relic; Slurm, Torque, LSF; MPI; Hadoop or Spark;Director of In Experience with high-performance computing, distributed systems, and observability tools Strong communication and executive presence, with the ability to translate complex technical concepts for diverse audiences More ❯
to explain commercial impact. Understanding of ML Ops vs DevOps and broader software engineering standards. Cloud experience (any platform). Previous mentoring experience. Nice to have: Snowflake or Databricks Spark, PySpark, Hadoop or similar big data tooling BI exposure (PowerBI, Tableau, etc.) Interview Process The process is fully structured, transparent, and efficient: Video call – high-level overview and initial More ❯
to explain commercial impact. Understanding of ML Ops vs DevOps and broader software engineering standards. Cloud experience (any platform). Previous mentoring experience. Nice to have: Snowflake or Databricks Spark, PySpark, Hadoop or similar big data tooling BI exposure (PowerBI, Tableau, etc.) Interview Process The process is fully structured, transparent, and efficient: Video call – high-level overview and initial More ❯
Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience with relational databases and data processing and query engines (Spark, Trino, or similar). Familiarity with monitoring, observability, and alerting systems for production ML (Prometheus, Grafana, Datadog, or equivalent). Understanding of ML concepts. You don't need to More ❯
Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience with relational databases and data processing and query engines (Spark, Trino, or similar). Familiarity with monitoring, observability, and alerting systems for production ML (Prometheus, Grafana, Datadog, or equivalent). Understanding of ML concepts. You don't need to More ❯
to explain commercial impact. Understanding of ML Ops vs DevOps and broader software engineering standards. Cloud experience (any platform). Previous mentoring experience. Nice to have: Snowflake or Databricks Spark, PySpark, Hadoop or similar big data tooling BI exposure (PowerBI, Tableau, etc.) Interview Process Video call - high-level overview and initial discussion In-person technical presentation - based on a More ❯
a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability to work across data infrastructure, from SQL to large-scale distributed data tools (Spark, etc.). Strong written and verbal communication skills, especially in cross-functional contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous More ❯
London, South East, England, United Kingdom Hybrid/Remote Options
Method Resourcing
a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability to work across data infrastructure, from SQL to large-scale distributed data tools (Spark, etc.). Strong written and verbal communication skills, especially in cross-functional contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous More ❯
Greater London, England, United Kingdom Hybrid/Remote Options
Primis
conceptual, logical, physical) and enterprise data management principles Hands-on experience with data modelling tools (e.g., Erwin, Sparx, PowerDesigner) and big data/cloud ecosystems (e.g., Databricks, Snowflake, Redshift, Spark) Solid grasp of data governance, metadata, and data quality frameworks Excellent stakeholder engagement skills — able to communicate complex data concepts to both technical and business audiences Bonus Points For More ❯
science team, mentoring junior colleagues and driving technical direction. Experience working with Agile methodologies in a collaborative team setting. Extensive experience with big data tools, such as Hadoop and Spark, for managing and processing large-scale datasets. Extensive experience with cloud platforms, particularly Microsoft Azure, for building and deploying data science solutions. Why Join? You'll be joining a More ❯
solutions, working within a fast-paced financial services environment. Key Responsibilities: Design, develop, and maintain applications using Scala, Python, Hadoop and Java . Work with Big Data technologies , including Spark, Hive (nice to have). Collaborate with cross-functional teams to deliver scalable, high-performance solutions. Participate in code reviews, testing, and performance optimization. Ensure best practices in coding … and architecture. Skills & Experience Required: 8–12 years of software development experience. Strong hands-on expertise in Scala (mandatory) , plus Python and Java . Experience with Big Data frameworks ; ApacheSpark experience is an advantage. Solid understanding of software engineering principles, data structures, and algorithms. Strong problem-solving skills and ability to work in an Agile environment. Educational More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Peaple Talent
a focus on having delivered in Microsoft Azure Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as ApacheSpark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure Data Engineering certifications Databricks certifications What's in it for you: 📍Location: London More ❯
a focus on having delivered in Microsoft Azure Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as ApacheSpark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure Data Engineering certifications Databricks certifications What's in it for you: 📍Location: London More ❯
of SQL and Python You have strong hands-on experience of building scalable data pipelines in cloud based environments using tools such as DBT, AWS Glue, AWS Lake Formation, ApacheSpark and Amazon Redshift You have a good knowledge of data modelling, ELT design patterns, data governance and security best practices You're collaborative and pragmatic with great More ❯
of SQL and Python You have strong hands-on experience of building scalable data pipelines in cloud based environments using tools such as DBT, AWS Glue, AWS Lake Formation, ApacheSpark and Amazon Redshift You have a good knowledge of data modelling, ELT design patterns, data governance and security best practices You're collaborative and pragmatic with great More ❯
technical stakeholders What You Bring 3–5+ years of experience in software engineering (Python) Experience with fastAPI, cloud platforms (AWS, Azure, or GCP), Docker. Bonus: experience with ML workflows, Spark, Airflow, or trading systems Why Join Up to £140K Up to 100% bonus Relocation package Flat, entrepreneurial team structure More ❯
technical stakeholders What You Bring 3–5+ years of experience in software engineering (Python) Experience with fastAPI, cloud platforms (AWS, Azure, or GCP), Docker. Bonus: experience with ML workflows, Spark, Airflow, or trading systems Why Join Up to £140K Up to 100% bonus Relocation package Flat, entrepreneurial team structure More ❯
pace with evolving technologies and techniques Candidate Profile 1+ years’ experience in a data-related role (Analyst, Engineer, Scientist, Consultant, or Specialist) Experience with technologies such as Python, SQL, Spark, Power BI, AWS, Azure, or GCP Strong analytical and problem-solving skills Comfortable working directly with clients and stakeholders Excellent communication and teamwork abilities Must hold active SC or More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Areti Group | B Corp™
pace with evolving technologies and techniques Candidate Profile 1+ years’ experience in a data-related role (Analyst, Engineer, Scientist, Consultant, or Specialist) Experience with technologies such as Python, SQL, Spark, Power BI, AWS, Azure, or GCP Strong analytical and problem-solving skills Comfortable working directly with clients and stakeholders Excellent communication and teamwork abilities Must hold active SC or More ❯
