SLB Recruitment 2026: Hiring Associate Data Engineer | Pune, India
Are you looking to kickstart your career in data engineering with a global technology leader? SLB (formerly Schlumberger) has announced an exciting career opportunity for the role of Associate Data Engineer at their state-of-the-art facility in Pune, India. This role is ideal for freshers and early-career professionals holding a Bachelor's or Master's degree in Computer Science or related fields who want to work on cutting-edge data technologies, cloud platforms, and big data systems.
As an Associate Data Engineer at SLB, you will be at the forefront of building robust data pipelines, managing complex ETL processes, and laying the foundation for advanced analytics, machine learning, and data science initiatives. Read on to discover the detailed eligibility criteria, required skills, job responsibilities, and step-by-step application process for this highly coveted role.
Job Overview Table
About SLB (Schlumberger)
SLB is a global technology company driving energy innovation for a balanced planet. With a legacy spanning nearly a century, SLB operates in over 120 countries, bringing together diverse talents to solve some of the world's most complex technical challenges. The company focuses on digital transformation, decarbonization, and new energy systems, making it an incredibly dynamic place to work for technology professionals.
At SLB, innovation is at the core of everything. The Digital Technology & Research division is responsible for building cutting-edge software, cloud architectures, and data platforms that power the global energy transition. By joining SLB, you will become part of a highly multicultural and inclusive team of experts, gaining access to unparalleled learning opportunities, international exposure, and a supportive environment that fosters personal and professional growth.
Detailed Job Description & Key Responsibilities
As an Associate Data Engineer, you will play a critical role in the IT and Data Management ecosystem. Your primary objective will be to design, build, and maintain the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources.
Your day-to-day responsibilities will include:
- ETL Pipeline Development: Developing, managing, and optimizing the data's ETL processing with a strong focus on data quality, risk mitigation, and performance.
- Data Cleaning & Transformation: Building robust, fault-tolerant data pipelines that clean, transform, and aggregate unorganized, messy, and raw data into structured databases or data sources.
- Database Management: Compiling and installing database systems, writing complex SQL queries, and scaling database architectures across multiple machines to handle large datasets.
- Supporting Analytics Teams: Laying the essential groundwork for Data Analysts and Data Scientists, enabling them to easily retrieve and utilize clean data for evaluations, predictive modeling, and experiments.
- Strategic Input: Providing valuable inputs to the business strategy to help guide the overall direction of data management, governance, and data quality within the organization.
Detailed Eligibility Criteria
Candidates applying for the Associate Data Engineer position must meet the following educational and professional requirements:
- Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, Software Engineering, or a closely related technical field.
- Experience: Freshers (2024, 2025, or 2026 graduates) or early-career professionals with up to 2 years of relevant experience in data engineering or software development.
- Communication: Excellent verbal and written communication skills, with the ability to collaborate effectively with globally distributed, cross-functional teams.
- Mindset: Self-driven, proactive, and possessing strong systems-thinking abilities to solve complex technical problems independently.
Required Technical Skills & Competencies
To stand out in the selection process, candidates should possess a strong foundation in the following technical areas:
- Core Programming (Must-Have): Strong proficiency in at least one core language: SQL, Java, or C++ is mandatory.
- Software Development Lifecycle (Must-Have): A clear awareness of the SDLC, including testing, deployment, and release processes, demonstrated through academic assignments, internships, or personal projects.
- Agile Methodologies (Plus): Familiarity with Agile development frameworks, Scrum, and tools like Azure VSTS/DevOps is highly desirable.
- Big Data Technologies (Good to Have): Exposure to Hadoop ecosystem technologies such as Sqoop, Hive, HBase, Spark, Python, or Scala is a significant advantage.
- Real-Time Integration & Cloud (Bonus): Experience or academic exposure to real-time integration tools (Kafka, Apache NiFi) and cloud platforms (AWS, Google Cloud, or Microsoft Azure) is a major plus.
Why Join SLB?
Working at SLB comes with a host of premium benefits designed to support your personal and professional well-being:
- International Opportunities: Gain global exposure and broad learning experiences by working with a highly diverse, multicultural team of experts.
- Comprehensive Insurance: Access premium health, vision, and dental insurance plans for you and your dependents starting from day one.
- Continuous Learning: Benefit from world-class training programs, certifications, and structured career development paths.
- Inclusive Culture: Work in an environment where differences in thought, creativity, and experiences are actively embraced and celebrated.
Selection Process
The recruitment process for the Associate Data Engineer role at SLB typically consists of the following stages:
- Online Application: Submission of your resume and academic details through the official SLB careers portal.
- Initial Screening: HR review of applications based on eligibility criteria, academic performance, and skill alignment.
- Technical Assessment: An online coding or technical test focusing on SQL, programming fundamentals (Java/C++), and basic data engineering concepts.
- Technical Interviews: One or more rounds of technical interviews covering database design, ETL concepts, problem-solving, and project discussions.
- HR & Behavioral Interview: A final round to assess cultural fit, communication skills, and career aspirations.
How to Apply
Ready to take the leap? Follow these simple steps to submit your application:
- Click on the Apply Now button below to visit the official SLB Careers page.
- Read through the official job description and requirements carefully.
- Click on the "Apply Now" button on the SLB portal and log in or create a new account.
- Fill in your personal details, educational qualifications, and upload your updated resume.
- Submit your application and keep track of your registered email for further updates.