Internetwork Expert
Senior Data Platform Engineer
Simple Machines
Hybrid · Full-time · Sydney (ANZ)
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™.
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
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
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™.
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
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