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this job offer closes 5 july 2026

job details

this job offer closes 5 july 2026

summary

    posted 6 may 2026

    reference number
    JPC - 118590

    next steps

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    job details

    About Woodside Energy  

    We are a global energy company, providing reliable and affordable energy to help people lead better lives. Join our team at Woodside Global Solutions in Bengaluru where talent, digital expertise, and operational excellence converge to solve complex energy challenges, accelerate change, and reimagine business capabilities to support Woodside's global operations and our role in the energy transition. 

    Founded in 1954, Woodside established the liquefied natural gas (LNG) industry in Australia 40 years ago and supplies customers around the globe.  70 years on, Woodside continues to be driven by a spirit of innovation and determination. 


    ...

    At Woodside, we know great results come from our people feeling valued, getting the support they need to reach their full potential and working in a psychologically and physically safe work environment. We believe in nurturing talent and providing opportunities for continuous learning and career advancement.  
    Refer to our corporate website for more information about our different locations and projects: What We Do 
     
    About Woodside Global Solutions 

     

    Woodside Global Solutions in Bengaluru is being built as a hub of excellence, to drive innovation, digital transformation, and global collaboration.  

    Working as one Global team, the Woodside Digital team is a trusted partner driving transformation within the organisation. We are bold in our ambitions and resolute in our actions. Through cutting-edge AI, robust cyber security, and advanced data solutions we drive innovation and influence every part of our business. 

    We are looking for talented professionals who are passionate about technology and eager to make a global impact, helping to shape the future of Woodside together.  

     

    About the role 

     

    The purpose of the Level 2 Data Engineer position is to leverage their technical expertise and domain knowledge to design, build, and maintain efficient and robust data solutions. The Data Engineer shall be responsible for the building, testing, and deployment of Data Pipelines on the EDP. The engineer shall ensure that the pipelines are developed and deployed with a secure-by-design approach, delivering robust, thoroughly tested, and maintainable solutions.

     

    Duties & Responsibilities:  

     

    Build 
    Pipeline Development 


    Develop pipelines using the standard patterns for data pipelines and workflows utilizing Kestra, dbt, Git 
    Design and Implement data storage and processing solutions employing Snowflake 
    Utilize AWS services for cloud-based platform tooling infrastructure including but not limited to: Lambda,ECS,MSK,RDS,EC2, Secrets Manager, ALB, Cloud Watch, Event Bridge  
    Utilize Terraform for AWS and Azure deployments 
    Leverage and integrate APIs for data access and manipulation 
    Write Python scripts for data common processing and automation tasks 
    Leverage Platform API’s and Web Applications to enforce Platform Security 
    Development experience with SQL, Python, C#, .net, JavaScript, shell scripts & container platforms like Docker 
    The engineer shall have experience integrating with timeseries source systems: Honeywell Plant Historian Database, OSI Pi 
    The engineer shall have experience in Authentication mechanisms including but not limited to (OAuth 2.0, OIDC, Microsoft Entra, Key Pair Authentication, Certificate based authentication, SAML based SSO) 

    Test 
    Quality Assurance 


    Create and execute comprehensive test plans to ensure the pipelines functionality and performance 
    Develop unit tests, integration tests, and end-to-end tests for data pipelines and workflows 
    Ensure data accuracy and consistency through rigorous testing processes 
    Leverage automated testing processes to enhance efficiency 

    Governance 
    Compliance & Risk 


    Due to the Crown Jewel nature of the enterprise data platform, Data Engineers may have access to PII, Confidential and Most Confidential data 
    This role requires strict adherence to access process and procedures to maintain Data Privacy and Security 
    Identify and report any potential breaches of the Data Information and Systems Processes 

    Operate 
    Platform Maintenance  


    Monitor and manage the platform to ensure optimal performance and uptime 
    Conduct regular maintenance tasks such as updates, patches, and backups 
    Resolve any issues or incidents related to the platform in a timely manner 
    Continuously improve platform operations through automation and optimization 
    Strong experience with Windows & Unix like operating systems 

    Security 
    Secure by Design 


    Implement security best practices throughout the pipeline development and deployment process 
    Conduct regular security reviews and vulnerability assessments 
    Ensure data encryption, access control, and other security measures are enforced 
    Use credential management platforms like Thycotic Secret Server, AWS Secrets Manager 

    Support 
    Technical Guidance 


    Assist in troubleshooting and resolving intricate technical issues 
    Deliverables 
    Robust and scalable data pipelines with well-documented code and processes 
    Comprehensive test plans and automation scripts ensuring platform reliability 
    Regular security assessments and compliance reports 
    Technical support and guidance documentation for delivery data engineers 
    Deliver secure, robust, and maintainable data pipelines 
    Ensure high-quality and thoroughly tested data solutions 
    Maintain compliance with security standards and best practices 
    Maintain compliance with the Data Lifecycle Management Process 
    Maintain compliance with the Data Privacy standards and best practices 

     

    Skills & Experience

     

    Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or a related field with a focus on data engineering or data analytics 
    Technical Expertise: Strong proficiency in programming languages such as Python, SQL, Java, or Scala for data processing and analysis 
    Data Engineering Skills: Experience with data modeling, ETL processes, data warehousing, data integration, and data pipeline development 
    Database Knowledge: Proficiency in relational databases (e.g., SQL, PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra) 
    Cloud Platform Experience: Working knowledge of cloud platforms such as Snowflake, AWS, Azure, or Google Cloud Platform for data storage and processing 
    Data Visualization: Experience with data visualization tools (e.g., Power BI) to create meaningful insights from data 
    Data Quality Assurance: Understanding of data quality principles, data governance, and data validation processes 
    Analytical Skills: Ability to analyze complex data sets, identify trends, patterns, and insights to drive data-driven decision-making 
    Problem-Solving Abilities: Proficiency in troubleshooting data-related issues, identifying root causes, and implementing solutions 
    Project Management Knowledge: Familiarity with project management methodologies to contribute effectively to project planning and execution 
    Communication Skills: Strong verbal and written communication skills to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders 
    Continuous Learning: Willingness to stay updated with the latest data technologies, tools, and industry trends to enhance data engineering skills 
    Experience: Prior experience in data engineering, data analytics, or related roles with a track record of successful data project delivery 
    Technical Leadership: Ability to make informed, strategic decisions that align technology with business objectives, while balancing short-term and long-term trade-offs 
    Customer Focus: Deep understanding of customer needs and how to translate them into effective technical solutions that drive business value 
    Collaboration: Encourages collaboration across teams and stakeholders, breaking down silos and ensuring alignment 
    Problem-Solving: Strong analytical and problem-solving skills, capable of addressing complex technical challenges and delivering innovative solutions 
    Innovation: Ability to lead innovation in technology while maintaining an eye on product-market fit and user experience 
    Agility: Adaptability in a fast-moving environment, with a mindset focused on delivering high-impact solutions quickly and iteratively 

    If you think you can do this job but don’t meet all the criteria, that’s OK! Please apply. At Woodside, we value people with diverse experiences and backgrounds, as they provide unique perspectives that help us innovate.  

     

    Recognition & Reward  

     

    What you can expect from us:  

    Commitment to your ongoing development, including on the job opportunities and formal programs   
    Inclusive parental leave entitlements for both parents  
    Values led culture  
    Flexible work options  
    Generous annual leave, sick leave and casual leave  
    Cultural and religious leave with flexible public holiday opportunities  
    A competitive remuneration package featuring performance based incentives with uncapped Employer Provident Fund  

    Woodside is committed to fostering an inclusive and diverse workforce culture, which is supported by our Values. 


    Inclusion centres on all employees creating a climate of trust and belonging, where people feel comfortable to bring their whole self to work. We also offer supportive pathways for all employees to grow and develop leadership skills.    


    If you are ready to take your career to the next level and be part of a global organisation that values innovation and excellence, apply now through our careers portal or connect with our recruitment team. 

    experience

    6
    show more

    About Woodside Energy  

    We are a global energy company, providing reliable and affordable energy to help people lead better lives. Join our team at Woodside Global Solutions in Bengaluru where talent, digital expertise, and operational excellence converge to solve complex energy challenges, accelerate change, and reimagine business capabilities to support Woodside's global operations and our role in the energy transition. 

    Founded in 1954, Woodside established the liquefied natural gas (LNG) industry in Australia 40 years ago and supplies customers around the globe.  70 years on, Woodside continues to be driven by a spirit of innovation and determination. 


    At Woodside, we know great results come from our people feeling valued, getting the support they need to reach their full potential and working in a psychologically and physically safe work environment. We believe in nurturing talent and providing opportunities for continuous learning and career advancement.  
    Refer to our corporate website for more information about our different locations and projects: What We Do 
      ...

    About Woodside Global Solutions 

     

    Woodside Global Solutions in Bengaluru is being built as a hub of excellence, to drive innovation, digital transformation, and global collaboration.  

    Working as one Global team, the Woodside Digital team is a trusted partner driving transformation within the organisation. We are bold in our ambitions and resolute in our actions. Through cutting-edge AI, robust cyber security, and advanced data solutions we drive innovation and influence every part of our business. 

    We are looking for talented professionals who are passionate about technology and eager to make a global impact, helping to shape the future of Woodside together.  

     

    About the role 

     

    The purpose of the Level 2 Data Engineer position is to leverage their technical expertise and domain knowledge to design, build, and maintain efficient and robust data solutions. The Data Engineer shall be responsible for the building, testing, and deployment of Data Pipelines on the EDP. The engineer shall ensure that the pipelines are developed and deployed with a secure-by-design approach, delivering robust, thoroughly tested, and maintainable solutions.

     

    Duties & Responsibilities:  

     

    Build 
    Pipeline Development 


    Develop pipelines using the standard patterns for data pipelines and workflows utilizing Kestra, dbt, Git 
    Design and Implement data storage and processing solutions employing Snowflake 
    Utilize AWS services for cloud-based platform tooling infrastructure including but not limited to: Lambda,ECS,MSK,RDS,EC2, Secrets Manager, ALB, Cloud Watch, Event Bridge  
    Utilize Terraform for AWS and Azure deployments 
    Leverage and integrate APIs for data access and manipulation 
    Write Python scripts for data common processing and automation tasks 
    Leverage Platform API’s and Web Applications to enforce Platform Security 
    Development experience with SQL, Python, C#, .net, JavaScript, shell scripts & container platforms like Docker 
    The engineer shall have experience integrating with timeseries source systems: Honeywell Plant Historian Database, OSI Pi 
    The engineer shall have experience in Authentication mechanisms including but not limited to (OAuth 2.0, OIDC, Microsoft Entra, Key Pair Authentication, Certificate based authentication, SAML based SSO) 

    Test 
    Quality Assurance 


    Create and execute comprehensive test plans to ensure the pipelines functionality and performance 
    Develop unit tests, integration tests, and end-to-end tests for data pipelines and workflows 
    Ensure data accuracy and consistency through rigorous testing processes 
    Leverage automated testing processes to enhance efficiency 

    Governance 
    Compliance & Risk 


    Due to the Crown Jewel nature of the enterprise data platform, Data Engineers may have access to PII, Confidential and Most Confidential data 
    This role requires strict adherence to access process and procedures to maintain Data Privacy and Security 
    Identify and report any potential breaches of the Data Information and Systems Processes 

    Operate 
    Platform Maintenance  


    Monitor and manage the platform to ensure optimal performance and uptime 
    Conduct regular maintenance tasks such as updates, patches, and backups 
    Resolve any issues or incidents related to the platform in a timely manner 
    Continuously improve platform operations through automation and optimization 
    Strong experience with Windows & Unix like operating systems 

    Security 
    Secure by Design 


    Implement security best practices throughout the pipeline development and deployment process 
    Conduct regular security reviews and vulnerability assessments 
    Ensure data encryption, access control, and other security measures are enforced 
    Use credential management platforms like Thycotic Secret Server, AWS Secrets Manager 

    Support 
    Technical Guidance 


    Assist in troubleshooting and resolving intricate technical issues 
    Deliverables 
    Robust and scalable data pipelines with well-documented code and processes 
    Comprehensive test plans and automation scripts ensuring platform reliability 
    Regular security assessments and compliance reports 
    Technical support and guidance documentation for delivery data engineers 
    Deliver secure, robust, and maintainable data pipelines 
    Ensure high-quality and thoroughly tested data solutions 
    Maintain compliance with security standards and best practices 
    Maintain compliance with the Data Lifecycle Management Process 
    Maintain compliance with the Data Privacy standards and best practices 

     

    Skills & Experience

     

    Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or a related field with a focus on data engineering or data analytics 
    Technical Expertise: Strong proficiency in programming languages such as Python, SQL, Java, or Scala for data processing and analysis 
    Data Engineering Skills: Experience with data modeling, ETL processes, data warehousing, data integration, and data pipeline development 
    Database Knowledge: Proficiency in relational databases (e.g., SQL, PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra) 
    Cloud Platform Experience: Working knowledge of cloud platforms such as Snowflake, AWS, Azure, or Google Cloud Platform for data storage and processing 
    Data Visualization: Experience with data visualization tools (e.g., Power BI) to create meaningful insights from data 
    Data Quality Assurance: Understanding of data quality principles, data governance, and data validation processes 
    Analytical Skills: Ability to analyze complex data sets, identify trends, patterns, and insights to drive data-driven decision-making 
    Problem-Solving Abilities: Proficiency in troubleshooting data-related issues, identifying root causes, and implementing solutions 
    Project Management Knowledge: Familiarity with project management methodologies to contribute effectively to project planning and execution 
    Communication Skills: Strong verbal and written communication skills to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders 
    Continuous Learning: Willingness to stay updated with the latest data technologies, tools, and industry trends to enhance data engineering skills 
    Experience: Prior experience in data engineering, data analytics, or related roles with a track record of successful data project delivery 
    Technical Leadership: Ability to make informed, strategic decisions that align technology with business objectives, while balancing short-term and long-term trade-offs 
    Customer Focus: Deep understanding of customer needs and how to translate them into effective technical solutions that drive business value 
    Collaboration: Encourages collaboration across teams and stakeholders, breaking down silos and ensuring alignment 
    Problem-Solving: Strong analytical and problem-solving skills, capable of addressing complex technical challenges and delivering innovative solutions 
    Innovation: Ability to lead innovation in technology while maintaining an eye on product-market fit and user experience 
    Agility: Adaptability in a fast-moving environment, with a mindset focused on delivering high-impact solutions quickly and iteratively 

    If you think you can do this job but don’t meet all the criteria, that’s OK! Please apply. At Woodside, we value people with diverse experiences and backgrounds, as they provide unique perspectives that help us innovate.  

     

    Recognition & Reward  

     

    What you can expect from us:  

    Commitment to your ongoing development, including on the job opportunities and formal programs   
    Inclusive parental leave entitlements for both parents  
    Values led culture  
    Flexible work options  
    Generous annual leave, sick leave and casual leave  
    Cultural and religious leave with flexible public holiday opportunities  
    A competitive remuneration package featuring performance based incentives with uncapped Employer Provident Fund  

    Woodside is committed to fostering an inclusive and diverse workforce culture, which is supported by our Values. 


    Inclusion centres on all employees creating a climate of trust and belonging, where people feel comfortable to bring their whole self to work. We also offer supportive pathways for all employees to grow and develop leadership skills.    


    If you are ready to take your career to the next level and be part of a global organisation that values innovation and excellence, apply now through our careers portal or connect with our recruitment team. 

    experience

    6
    show more

      working at A client of Randstad India

      A client of Randstad India

      all a client of randstad india jobs (1393)

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      Bellandur, Karnataka, India


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