Lovable★4.0 (43)· London

Uses Go, Rust, TypeScript; AWS, Azure, Google Cloud, Cloudflare; Kubernetes, Terraform, Temporal, OTEL, CI/CD; PostgreSQL, ClickHouse, Firestore, Spanner, BigQuery. Builds the platform for Lovable Enterprise enabling secure, cloud-agnostic deployment, defining architecture for sandboxing, networking, encryption, identity, and mentoring engineers.

As an Enterprise Sales Engineer, you will use Neo4j and the Cypher query language, Terraform for IaC, REST APIs, Apache Kafka/Confluent, plus Python, JavaScript, React and Go. You will be a trusted technical advisor, guiding enterprise customers through deploying the client’s platform for secure, governed AI, and will partner with Sales, Customer Success and Partner teams. The listing does not specify team size.

Cboe Global Markets★3.7 (14)· London

You'll work primarily with Python to design and build highly reliable trading systems, working closely with advanced SQL, Linux, and optionally PostgreSQL, Snowflake, Apache Kafka, Apache Airflow, Django, Flask, or FastAPI. You'll expand data pipeline and event streaming functionality for Europe's largest equities exchange and related platforms, while leading complex projects, mentoring developers across multiple global teams, and participating in production support for Cboe Europe's trading operations.

You will use Python, dbt, Airflow, Kafka, and Trino/Iceberg to architect scalable data pipelines and streaming architectures. As the embedded data lead on the Marketing Platform team, you’ll build and maintain the data infrastructure and third-party integrations (e.g., Meta, Google) that power Wise’s global customer acquisition engine.

Lovable★4.0 (43)· London

Build enterprise deployments using Go, Rust, and TypeScript on AWS, Azure, and Google Cloud, with Kubernetes, Terraform, and Temporal. You will build the platform that allows large customers to run Lovable securely and at scale across every major cloud provider.

You will work with Python, dbt, Airflow, Kafka, Trino/Iceberg, and Martech tools like Braze. As the data lead on the Marketing Platform team within Scalable Growth, you will build and scale high-volume streaming and batch data pipelines to power Wise’s global customer acquisition. You will also coach software engineers in data best practices.

MAREX★3.2 (6)· London

Design and implement resilient data ingestion, orchestration, and provisioning using APIs, event streaming, CI/CD, and infrastructure-as-code for Marex's enterprise data products. This role supports the firm's global financial services platform by delivering trusted, reusable data assets and integration capabilities for operational, regulatory, and analytical use cases.

You'll work with Trino, Iceberg, dbt, Airflow, Kafka, Python, SQL, Java or Scala to build and optimize data pipelines on a Lakehouse following Medallion Architecture (Bronze, Silver, Gold layers). You'll join Wise’s Data Onboarding Team, part of the Finance Squad that stewards the company’s financial truth by processing hundreds of millions of high-throughput financial events daily into audit-ready structures. The team abstracts product complexity into reusable, domain-agnostic stream-enrichment pipelines.

You will build and operate a Kubernetes platform on Azure using Terraform, GitOps, service mesh, and observability tools like Grafana and OpenTelemetry. The platform underpins AI and automation services for a large-scale enterprise, supporting multiple engineering teams. This is a hands-on role covering infrastructure as code, CI/CD, networking, and platform reliability.

You will lead a small cross-functional data pod building data pipelines, models and services in Python, SQL and Snowflake to turn supply chain data into customer-facing sustainability insights. The role combines hands-on data engineering with technical leadership and line management of the pod's engineers.

Senior Software Engineer II building data pipelines on Trino, Iceberg, Kafka, dbt, Airflow, and Python/SQL for a Finance Squad. The team handles high-throughput financial event data within a Medallion Architecture, creating reusable stream-enrichment pipelines to support financial reporting and assurance at a global money-transfer company.

Lead the Credit Risk Analytics IT team using S&P Global FRA (fraimWRX), Redis, Kafka, Spark, HBASE, HDFS, Kubernetes, Python, .NET, C#, MS SQL Server, and MS Azure. The team designs, integrates, and supports systems for calculating and reporting Credit Risk across all locations. This is a VP-level role managing onshore, nearshore, and offshore developers.

You will work with Python/Java, Docker, ECS/EKS, GitLab, CI/CD, Terraform, AWS, and Kafka to build a cloud-native customer onboarding platform for a banking client. As a Principal Engineer, you provide technical leadership across multiple squads and mentor a team of approximately 10 junior engineers.

You will work with Java 21, Kotlin, REST APIs, PostgreSQL, MongoDB, Couchbase, Kafka, Docker, Kubernetes, and CI/CD tools. As part of Citi’s Developer Enablement team, you'll build and automate the bank’s strategic release management platform (Release on Demand) and a greenfield SDLC automation initiative, both used by 30,000 internal engineers.

You will work with AWS, Kubernetes, Python, Go or Node.js, CI/CD tools, and OpenTelemetry or Datadog. The role involves platform engineering and DevOps, focusing on cloud-native architectures, automation, and observability.

The Infrastructure Reliability Engineering Lead will lead a team of specialist engineers, implementing reliability engineering practices across infrastructure platforms for LME industrial metals trading and clearing services. The role focuses on observability, resilience engineering, automation, operational readiness, and service reliability improvement.

Wise★3.5 (42)· London

You will use Python, dbt, Airflow, Kafka, Trino/Iceberg to architect high-volume streaming and batch data pipelines. As the data lead on the Marketing Platform team within Scalable Growth, you own the data infrastructure and vendor integrations (Meta, Google) that power Wise’s global customer acquisition engine.

Expedia Group★3.8 (1.2k)· London

Backend role building pricing services for Expedia Group's travel platform using Java, Scala, Kotlin, Spring, MSSQL, DynamoDB, Redis. You'll design and maintain high-throughput, low-latency distributed microservices and caching mechanisms.

Python (3.10+) and Go development, with JavaScript/TypeScript for frontend; using RabbitMQ, Kafka, PostgreSQL, Redis, OpenTelemetry, and Prometheus. You will build and maintain low-latency real-time data feeds and web scraping pipelines to expand access to liquidity providers for sports prediction models.

Wise★3.5 (42)· London

Work with Trino, Iceberg, Kafka, dbt, Airflow, Python, SQL and Java/Scala to build streaming data pipelines on a Lakehouse using Medallion Architecture (Bronze/Silver/Gold). You will own data extraction, cleaning and modeling for the Data Onboarding team, which bridges product events and audit-ready financial structures for Wise’s global cross-border money movement platform.

MUFG★3.3 (1k)· London

Works with S&P Global FRA, fraimWRX (AKS), Redis, Kafka, Spark, HBASE, HDFS, Kubernetes, Python, .NET, C#, MS SQL Server, MS Azure. Leads the Credit Risk Analytics IT team, designing and integrating Middle Office systems for calculating and reporting Credit Risk across all locations. Manages onshore, nearshore, and offshore teams.

Wise★3.5 (42)· London

You will work with Java, Kotlin, Spring Boot, AWS, PostgreSQL, Apache Kafka, and RESTful APIs. The Recurring Payin team builds the Direct Debit API platform that powers automated payments and scheduled top-ups into Wise, including a payment orchestration system routing across providers.

Infosys★3.8 (17k)· London

Work with Snowflake, GitHub, Octopus Deploy, Confluent Cloud, SQL, Kafka, and Fivetran. Lead the delivery of enterprise data management and integration solutions, managing scalable data platforms and pipelines for a global consulting firm. The role drives a data delivery team in a complex, cross-functional environment.

You will design and build data pipelines, models, and services in Python and SQL, using Snowflake for warehousing. You will lead a small cross-functional data pod that transforms supply chain data into customer-facing insights for Sedex’s SaaS sustainability platform. This role includes line management of the pod’s engineers.