Simple Machines
Technology Consultancy
SeniorDataEngineer
“Senior Data Engineer at Simple Machines. Skills: Data Engineering, Data Platforms, Cloud Data Services, Data Pipelines. Lead platform and architecture design. Own end-to-end architecture”
What You'll Achieve.
Turn messy data into products; Deliver real outcomes; Deliver real outcomes
Industry & Context.
Solve hard data problems; Pragmatic engineering decisions
What They're Looking For.
Must Have
Python, SQL, Spark, Databricks, Snowflake, AWS, GCP, Terraform, Pulumi, GitHub Actions, ArgoCD, dbt, Great Expectations, Soda
Nice to Have
Data mesh, Data products, Data contracts, Flink, Kinesis, Pub/Sub, Dataflow, Glue, Postgres, BigQuery, Cassandra, MongoDB, Parquet, Delta, ORC, Avro
What You'll Do.
Lead platform and architecture design
Own end-to-end architecture
Design scalable data ecosystems
Make high-impact architectural decisions
Ensure platforms are secure
Build modern data platforms
Design and deliver cloud-native platforms
Integrate deeply with client systems
Develop high-performance pipelines
Build and optimise pipelines
Work with streaming tech
Orchestrate workflows
Process and transform large datasets
Design systems that perform
Own data storage and performance
Work across relational
Optimise storage formats
Translate business needs
Act as trusted technical advisor
Set engineering standards
Review designs and code
Raise bar on data quality
How You'll Work.
Team & Collaboration
Work in small, high-calibre teams; Operate close to problem and client; Work directly with clients; Consult and influence clients; Mentor senior engineers; Influence technical culture
Communication Scope
Translate business needs; Shape solutions
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