Jobs at Simple Machines

Lead the architecture and hands-on development of cloud-native data platforms, real-time and batch pipelines, data products, and scalable storage systems. Work with Databricks, Snowflake, AWS, GCP, Spark, Flink, and related technologies. Provide technical direction, establish engineering standards, mentor engineers, ensure data quality and security, and advise clients on pragmatic platform and architecture decisions.

Provides senior technology and people leadership across complex software engineering engagements. Leads architecture, technical quality, enterprise client relationships, consulting pursuits, proposals, and technology growth. Advises senior stakeholders, shapes AI-native and agentic solutions, develops strategic accounts, wins new work, and mentors engineers, technical leads, principal engineers, and architects across the UK and Europe.

Lead data-focused business analysis for data platform, data product, and governance engagements. Act as the customer proxy, investigate and validate data using SQL, interpret models and mappings, and translate business needs into technical requirements. Facilitate workshops, define acceptance criteria, support prioritization and UAT, and produce clear documentation. Partner with technical leads to shape solutions and apply a data product perspective focused on outcomes, value, and delivery.

Lead the design and development of modern data platforms, focusing on scalable architecture and high-performance data pipelines while ensuring security and compliance.

The role involves designing and building cloud-native data platforms and pipelines, optimizing data storage, and consulting with clients on data solutions. It requires hands-on engineering skills and experience with modern data technologies.

The Senior Data Engineer builds real-time data pipelines, implements data mesh architectures, and engages with clients to enhance data interactions, focusing on creating impactful data solutions.

The role involves leading data platform engineering, defining technical direction, advising on modern data strategies, and mentoring teams in a consultancy environment.

As a Senior Data Engineer at Simple Machines, you'll lead the design and build of cloud-native data platforms and pipelines, ensuring high performance and compliance while consulting directly with clients to deliver effective data solutions.

Hands-on principal software engineer responsible for designing and delivering scalable backend services, APIs, frontend components, data pipelines and cloud infrastructure. Own end-to-end delivery, document technical designs, collaborate with clients and cross-functional teams, and operate within an Agile delivery model.

Lead design and build of cloud-native, production-grade data platforms and real-time pipelines. Own architecture, implement scalable ingestion, storage, processing, and access layers, ensure security and governance, optimize performance, mentor engineers, and consult directly with clients to deliver data products and solutions.

The role focuses on leading data platform strategy and architecture, guiding enterprise clients on modernizing their data ecosystems for AI, and enhancing the data platform capabilities within Simple Machines across Europe.

Lead the design and implementation of modern data platforms and pipelines, ensuring high performance and compliance while consulting directly with clients to drive effective data solutions.

The role involves developing scalable back-end services, designing APIs, collaborating with clients, and managing deployment and operations. Requires expertise in JVM languages and cloud infrastructure.

The Senior Full Stack Engineer will design and develop scalable backend services, APIs, and infrastructure while collaborating with clients and team members. Responsibilities include end-to-end delivery, Agile methodologies, and participating in a high-performing engineering team.