Senior Data Platform Engineer Simple Machines – Hybrid · Full-time · London Office (EMEA) Who We Are Simple Machines is a global, independent technology consultancy operating across London, Poland, Sydney, San Francisco, and New Zealand. We design and build modern data platforms, intelligent systems, and bespoke software at the intersection of data engineering, AI, and software engineering. We work with enterprises, scale‑ups, and government to turn messy, high‑value data into products, platforms, and decisions that actually move the needle. We don't do generic. We build things that matter – We engineer data to life™. Requirements The Role This is a hands‑on senior engineering role, not an architecture‑only seat and not a support function. You'll design and build greenfield data platforms, real‑time pipelines, and data products for clients who are serious about using data properly. You'll work in small, high‑calibre teams and operate close to both the problem and the client. If you enjoy solving hard data problems, shaping modern architectures (data mesh, data products, contracts), and delivering real outcomes – this is your lane. What You'll Be Doing Build Modern Data Platforms

Design and deliver cloud‑native data platforms using Databricks, Snowflake, AWS, and GCP Apply modern architectural patterns: data mesh, data products, and data contracts Integrate deeply with client systems to enable scalable, consumer‑oriented data access

Develop High‑Performance Pipelines

Build and optimise batch and real‑time pipelines Work with streaming and event‑driven tech such as Kafka, Flink, Kinesis, Pub/Sub Orchestrate workflows using Airflow, Dataflow, Glue

Work at Scale

Process and transform large datasets using Spark and Flink Design systems that perform in production – not just on paper

Own Data Storage & Performance

Work across relational, NoSQL, and analytical stores (Postgres, BigQuery, Snowflake, Cassandra, MongoDB) Optimise storage formats and access patterns (Parquet, Delta, ORC, Avro)

Cloud, Security & Governance

Implement secure, compliant data solutions with security by design Embed governance without killing developer velocity

Consult and Influence

Work directly with clients to understand problems and shape solutions Translate business needs into pragmatic engineering decisions Act as a trusted technical advisor, not just an order taker

What We're Looking For Core Engineering Strength

Strong Python and SQL Deep experience with Spark and modern data platforms (Databricks / Snowflake) Solid grasp of cloud data services (AWS or GCP)

Data Platform Experience

Built and operated large‑scale data pipelines in production Strong data modelling capability and architectural judgement Comfortable with multiple storage technologies and formats

Engineering Discipline

Infrastructure‑as‑code experience (Terraform, Pulumi) CI/CD pipelines using tools like GitHub Actions, ArgoCD Data testing and quality frameworks (dbt, Great Expectations, Soda)

Nice to Have

JVM or systems languages (Scala, Java, Go, Rust) Graph or specialised stores (Neo4j, Cassandra)

Delivery & Consulting Mindset

Experience in consulting or professional services environments Comfortable working in agile teams Able to engage stakeholders and drive outcomes, not just ship code

Benefits Why Simple Machines

You'll work on interesting, high‑impact problems You'll build modern platforms, not maintain legacy mess You'll be surrounded by senior engineers who actually know their craft You'll have autonomy, influence, and room to grow

If you're a senior data engineer who wants to build properly, think clearly, and deliver real outcomes — we should talk. #J-18808-Ljbffr