Responsibilities
- Work closely with internal customers to understand their data requirements, model data structures, and design and implement scalable ingestion pipelines from operational and enterprise systems.
- Lead the design and development of integration solutions and ETL pipelines, ensuring high-quality documentation and approval of engineering patterns.
- Collaborate with on-prem and cloud platform teams to identify capability gaps and evaluate emerging tools and technologies.
- Work with the Enterprise & Global (E&G) Data Utility team to enhance and evolve the E&G data platform to meet customer needs.
Requirements
- Experience working across distributed processing, traditional RDBMS, MPP and NoSQL database technologies.
- Strong background with ETL and data warehousing tools such as Informatica, Talend, Pentaho or DataStage.
- Hands-on experience with Hadoop, Spark, Storm, Impala and related platforms.
- Strong understanding of RDBMS concepts, ETL principles and end-to-end data pipeline development.
- Solid knowledge of data modelling techniques (ERDs, star schema, snowflake schema).
- Experience with AWS services including S3, EC2, EMR, RDS, Redshift and Kinesis.
- Exposure to distributed processing (Spark, Hadoop, EMR), RDBMS (SQL Server, Oracle, MySQL, PostgreSQL), MPP (Redshift, Teradata) and NoSQL technologies (MongoDB, DynamoDB, Cassandra, Neo4J, Titan).
- Experience designing and building streaming pipelines using tools such as Kafka, Kafka Streams or Spark Streaming.
- Strong proficiency in Python and at least two of: Scala, SQL or Java.
- Experience deploying production applications, including testing, packaging, monitoring and release management.
- Proficiency with Git-based source control and CI/CD pipelines, ideally GitLab.
- Strong engineering discipline including code reviews, testing frameworks and maintainable coding practices.
- Master’s degree in Computer Science, MIS, Engineering or a related field.
- At least 10 years’ experience in Data Engineering or Architecture.
- Experience working within DevOps, Agile, Scrum or Continuous Delivery environments.
- Ability to mentor team members and support capability development across teams.
- Strong communication, listening and influencing skills.
- High levels of motivation, adaptability and problem-solving capability.
Nice to Have
- Experience with structured, semi-structured and unstructured data.
- Understanding of data governance, lineage and data quality approaches.
- Experience with Infrastructure-as-Code tools such as Terraform.
- Exposure to workflow orchestration tools like Azkaban, Luigi or Airflow.
- Experience enabling data consumption through APIs, event streams or data marts.
- Experience with MuleSoft, Solace or StreamSets.
Additional Information
- This posting will be active until 11:59pm CST on February 26, 2026
- The roster schedule may be adjusted based on business requirements or as operations progress.
- At BHP, we are committed to employing individuals who align with the BHP Charter Values and meet the requirements of the role. As part of the recruitment process, there are several checks which may be conducted to demonstrate applicants' suitability for a role including police / criminal background checks, medical, drug and alcohol testing, due diligence checks, right to work checks, and/or reference checks. The outcome of these checks is not determinative or whether or not BHP decides to make an offer of employment.
- If you are already employed directly by BHP, please log in using your BHP email address or apply via our internal jobs' portal.
