Get AI-powered advice on this job and more exclusive features.
Simple Machines ANZ - Job Ad - Senior Data Engineer
Position: Senior Data Engineer
Location: Darlinghurst, Sydney
Simple Machines. Data Engineered to Life
Simple Machines is a leading independent boutique technology firm with a global presence, including teams in London, Sydney, San Francisco, and New Zealand. We specialise in creating technology solutions at the intersection of data, AI, machine learning, data engineering, and software engineering. Our mission is to help enterprises, technology companies, and governments better connect with and understand their organisations, their people, their customers, and citizens. We are a team of creative engineers and technologists dedicated to unleashing the potential of data in new and impactful ways. We design and build bespoke data platforms and unique software products, create and deploy intelligent systems, and bring engineering expertise to life by transforming data into actionable insights and tangible outcomes.
We engineer data to life.
Simple Machines ANZ - Job Ad - Senior Data Engineer
Position: Senior Data Engineer
Location: Darlinghurst, Sydney
Simple Machines. Data Engineered to Life
Simple Machines is a leading independent boutique technology firm with a global presence, including teams in London, Sydney, San Francisco, and New Zealand. We specialise in creating technology solutions at the intersection of data, AI, machine learning, data engineering, and software engineering. Our mission is to help enterprises, technology companies, and governments better connect with and understand their organisations, their people, their customers, and citizens. We are a team of creative engineers and technologists dedicated to unleashing the potential of data in new and impactful ways. We design and build bespoke data platforms and unique software products, create and deploy intelligent systems, and bring engineering expertise to life by transforming data into actionable insights and tangible outcomes.
We engineer data to life.
Requirements
The Role:
The Senior Data Engineer at Simple Machines is a dynamic, hands-on role focused on building real-time data pipelines and implementing data mesh architectures to enhance client data interactions. This position blends deep technical expertise in modern data engineering methods with a client-facing consulting approach, enabling clients to effectively manage and utilise their data. Within a team of top-tier engineers, the role involves developing greenfield data solutions that deliver tangible business outcomes across various environments.
Technical Responsibilities
* Developing Data Solutions: Implement and enhance data-driven solutions integrating with clients' systems using state-of-the-art tools such as Databricks, Snowflake, Google Cloud, and AWS. Embrace modern data architecture philosophies including data products, data contracts, and data mesh to ensure a decentralized and consumer-oriented approach to data management
* Data Pipeline Development: Develop and optimise high-performance, batch and real-time data pipelines employing advanced streaming technologies like Kafka, and Flink. Utilise workflow orchestration tools such as Dataflow and Airflow
* Database and Storage Optimization: Optimize and manage a broad array of database technologies, from traditional relational databases (e.g., PostgreSQL, MySQL) to modern NoSQL solutions (e.g., MongoDB, Cassandra). Focus on strategies that enhance data accessibility, integrity, and performance
* Big Data Processing & Analytics: Utilise big data frameworks such as Apache Spark and Apache Flink to address challenges associated with large-scale data processing and analysis. These technologies are crucial for managing vast datasets and performing complex data transformations and aggregations
* Cloud Data Management: Implement and oversee cloud-specific data services including AWS Redshift, S3, Google BigQuery, and Google Cloud Storage. Leverage cloud architectures to improve data sharing and interoperability across different business units
* Security and Compliance: Ensure all data practices comply with security policies and regulations, embedding security by design in the data infrastructure. Incorporate tools and methodologies recommended for data security and compliance, ensuring robust protection and governance of data assets
Consulting Responsibilities
* Client Advisory: Provide expert advice to clients on optimal data practices that align with their business requirements and project goals
* Training and Empowerment: Educate client teams on the latest technologies and data management strategies, enabling them to efficiently utilise and maintain the solutions we have developed
* Professional Development: Keep up with the latest industry trends and technological advancements, continually upgrading skills and achieving certifications in the technologies Simple Machines implements across its client base
Ideal Skills and Experience
* Core Data Engineering Tools & Technologies: Demonstrates proficiency in SQL and Spark, and familiarity with platforms such as Databricks and Snowflake. Well-versed in various storage technologies including AWS S3, Google Cloud BigQuery, Cassandra, MongoDB, Neo4J, and HDFS. Adept in pipeline orchestration tools like AWS Glue, Apache Airflow, and dbt, as well as streaming technologies like Kafka, AWS Kinesis, Google Cloud Pub/Sub, and Azure Event Hubs
* Data Storage Expertise: Knowledgeable in data warehousing technologies like BigQuery, Snowflake, and Databricks, proficient in managing various data storage formats including Parquet, Delta, ORC, Avro, and JSON to optimise data storage and retrieval
* Building and Managing Large-scale Data Systems: Experienced in developing and overseeing large-scale data pipelines and data-intensive applications within production environments
* Data Modelling Expertise: Proficient in data modelling, understanding the implications and trade-offs of various methodologies and approaches
* Infrastructure Configuration for Data Systems: Competent in setting up data system infrastructures, favouring infrastructure-as-code practices using tools such as Terraform and Pulumi
* Programming Languages: Proficient in Python and SQL, with additional experience in programming languages like Java, Scala, GoLang, and Rust considered advantageous
* CI/CD Implementation: Knowledgeable about continuous integration and continuous deployment practices using tools like GitHub Actions and ArgoCD, enhancing software development and quality assurance
* Testing Tools and Frameworks: Experienced with data quality and testing frameworks such as DBT, Great Expectations, and Soda, ensuring the reliability of complex data systems
* Commercial Application of Data Engineering Expertise: Demonstrated experience in applying data engineering skills across various industries and organisations in a commercial context
* Agile Delivery and Project Management: Skilled in agile, scrum, and kanban project delivery methods, ensuring efficient and effective solution development
* Consulting and Advisory Skills: Experienced in a consultancy or professional services setting, offering expert advice and crafting customised solutions that address client needs. Effective in engaging stakeholders and translating business requirements into practical data engineering strategies
Professional Experience and Qualifications
* Professional Experience: At least 5+ years of data engineering or equivalent experience in a commercial, enterprise, or start-up environment. Consulting experience within a technology consultancy or professional services firm is highly beneficial
* Educational Background: Degree or equivalent experience in computer science or a related field
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Industries
Non-profit Organizations and Primary and Secondary Education
Referrals increase your chances of interviewing at Simple Machines by 2x
Get notified about new Senior Data Engineer jobs in Sydney, New South Wales, Australia.
Millers Point, New South Wales, Australia 3 weeks ago
Senior Consultant - Data Engineering, Databricks, Data Platforms
Sydney, New South Wales, Australia 2 days ago
Sydney, New South Wales, Australia 1 day ago
Sydney, New South Wales, Australia A$700.00-A$950.00 3 days ago
Sydney, New South Wales, Australia 4 hours ago
SAP Data Migration Architect - Permanent - Sydney
Sydney, New South Wales, Australia 3 weeks ago
Senior Software Engineer - Global Payroll Platform
Sydney, New South Wales, Australia 2 weeks ago
Harris Park, New South Wales, Australia 3 days ago
Group Data Architect - Associate Director
Sydney, New South Wales, Australia 2 weeks ago
Senior Technical Analyst - Market Data Systems
Sydney, New South Wales, Australia 6 days ago
Millers Point, New South Wales, Australia 2 days ago
Lead Senior Analyst, Investment Data Management
Sydney, New South Wales, Australia 2 weeks ago
Sydney, New South Wales, Australia 6 days ago
Senior Analyst - Strategic Initiatives, Data
Sydney, New South Wales, Australia 3 days ago
Sydney, New South Wales, Australia 2 weeks ago
Senior Technical Business Analyst - Data Focus
Sydney, New South Wales, Australia 2 weeks ago
Sydney, New South Wales, Australia 2 weeks ago
Sydney, New South Wales, Australia 2 weeks ago
Big Data Technical Architect - Public Sector
Sydney, New South Wales, Australia 3 days ago
Senior Policy Analyst – Data, Security & Technology
Sydney, New South Wales, Australia 3 months ago
Sydney, New South Wales, Australia 3 weeks ago
Senior Technical Recruiter - Software Engineering
Sydney, New South Wales, Australia 3 days ago
Lecturer & Senior Lecturer/Assistant Professors -CIS- Cybersecurity, Data Science, Networking & Software Engineering
Sydney, New South Wales, Australia 3 days ago
Sydney, New South Wales, Australia 2 weeks ago
Validation & Verification and Hardware Engineering Manager
Lane Cove West, New South Wales, Australia 21 hours ago
Sydney, New South Wales, Australia 18 hours ago
We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr