Level

Shell

Senior Data Engineer

Shell is hiring a Senior Data Engineer. Level rates it ; you can apply on Level.

AI in this role

Design Lakehouse data architectures and build high-volume data pipelines integrating advanced GenAI frameworks.

langgraphdatabricksazure-databrickspysparksql
data-engineeringlakehousedata-governanceetl
, India


Job Family Group:

Information Technology (IT)


Worker Type:

Regular


Posting Start Date:

October 16, 2026


Business Unit:

Information & Digital Technology


Experience Level:

Experienced Professionals


Job Description:

What’s the role?

 

This role is responsible for leveraging business intelligence, data analytics, data modeling, and big data technologies to transform complex data into actionable insights that support strategic decision-making. The individual will help improve business performance, optimize operations, identify market opportunities, and deliver data-driven solutions that create competitive advantage.

 

Additionally, the role ensures effective information management across the organization by supporting the creation, storage, governance, and maintenance of data throughout its lifecycle, enabling secure and efficient access, sharing, and use of information across teams, systems, and business functions.

 

What you’ll be doing?

 

  • Design and implement Lakehouse-based data architectures, including Medallion Architecture (Bronze, Silver, Gold layers), using configuration-driven and reusable frameworks to support multiple product teams.
  • Build, optimize, and maintain high-volume, high-velocity, and high-variety data pipelines for both batch and streaming workloads using Azure Databricks, Databricks, PySpark, and SQL.
  • Lead the design and development of data ingestion pipelines, data lake storage solutions, transformation notebooks, physical data models, tabular models, APIs/endpoints, and data visualization solutions.
  • Partner with business and product stakeholders to gather functional requirements, user stories, and product backlog items (PBIs), translating them into scalable technical solutions.
  • Define technical architecture, establish engineering standards, and provide technical direction across data engineering initiatives.
  • Develop and maintain reusable data engineering frameworks to improve scalability, consistency, and maintainability across projects.
  • Implement and support enterprise-grade data governance, quality, security, and performance optimization practices.
  • Collaborate with cross-functional teams, including Data Science, Analytics, and AI teams, to enable advanced analytics and AI-driven solutions.
  • Utilize Databricks Mosaic AI, LangGraph, or similar GenAI frameworks within enterprise guardrails to enhance data engineering workflows and accelerate solution delivery.
  • Mentor and guide junior engineers, conduct design reviews, and promote best practices in data engineering and software development.

 

What we need from you?


  • Bachelor's Degree in Information Technology, Computer Science, Computer Engineering, Software Engineering, Data Science, Information Systems, or a related field.
  • With at least 8–12 years of experience in Data Engineering, Data Platform Development, Data Warehousing, or related data and analytics roles.
  • Strong hands-on experience with:
    • Databricks
    • Azure Databricks
    • Databricks Mosaic AI
    • PySpark
    • SQL
    • Transformation Notebooks
    • Lakehouse Architecture
    • Medallion Architecture
  • Proven experience designing and implementing scalable enterprise data platforms and large-scale data pipelines.
  • Experience with both batch and real-time/streaming data processing frameworks.
  • Strong knowledge of data modeling, ETL/ELT design patterns, and cloud-based data storage solutions.
  • Experience working with GenAI frameworks and platforms within enterprise environments and governance standards.
  • Excellent stakeholder management, requirements gathering, and technical leadership skills.
  • Strong analytical, problem-solving, and communication skills.
  • Experience in the Energy, Oil & Gas, Utilities, or related industry is highly preferred.
  • Required Certifications: Databricks Certified Data Engineer Professional (Mandatory)

What we offer


You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You’ll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You’ll be able to balance your priorities as you become the best version of yourself.

 

  • Progress as a person as we work on the energy transition together.
  • Continuously grow the transferable skills you need to get ahead.
  • Work at the forefront of technology, trends, and practices.
  • Collaborate with experienced colleagues with unique expertise.
  • Achieve your balance in a values-led culture that encourages you to be the best version of yourself.
  • Benefit from flexible working hours, and the possibility of remote/mobile working.
  • Perform at your best with a competitive starting salary and annual performance related salary increase – our pay and benefits packages are considered to be among the best in the world.
  • Take advantage of paid parental leave, including for non-birthing parents.
  • Join an organisation working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply.
  • Grow as you progress through diverse career opportunities in national and
  • international teams.
  • Gain access to a wide range of training and development programmes.

We'd like you to know that Shell has a bold goal: to become one of the world’s most diverse and inclusive companies. You can get to know more about how we're working towards that goal, click here.

 

IMPORTANT NOTE: After you submit your application, you will receive an email providing a link to an online assessment that is a mandatory part of the process. The email will come from HireVue - please check your spam/junk mailbox if you do not see the email. Once completed, your application will be reviewed to determine next steps. Thank you for your interest in Shell.

 

 

-

Shell in India

 

Shell is a diversified energy company in India with 13,000 employees, and presence in Integrated Gas, Downstream, Power, Renewable and Upstream. Additionally, we have deep capabilities in R&D, digitalization, and business operations.

 

Our global strategy, Powering Progress, is designed to generate value for our shareholders, customers, and the wider society, and focuses on creating more value with less emissions. The strategy supports our purpose of providing more and cleaner energy solutions, with the aim of profitably transforming Shell into a net-zero emissions energy business by 2050. As India moves towards its target of net-zero emissions by 2070, Shell India aims to play a leading role in securing vital energy for today, while investing in, and helping to build, the energy system of the future through strategic investments in the country.

 

Our Lubricants business serves over 50,000 consumers through a strong network of over 200 distributors, and operates an end-to-end value chain that spans conceptualization, development, and production at a world-class blending plant at Taloja. Through our 350-plus retail stations, we offer an integrated mobility experience including fuels, cafes, and convenience stores, with a prominent network of EV recharging facilities.

 

Shell owns and operates an LNG re-gasification terminal at Hazira, Surat, with a capacity of 5 MTPA and an LNG truck-loading unit that plays a crucial role in helping meet India’s growing demand for gas across sectors. In 2022, Shell acquired Spring Energy in a $1.55 billion deal to build an integrated energy transition business in the country. Spring is a leading renewable energy company in India which develops and manages solar, wind, and hybrid power generation facilities and infrastructure.

 

Our three capability centers across Bangalore and Chennai serve as a technology and innovation powerhouse for Shell globally, working as a delivery engine for core technical, digital, and finance processes: pioneering digital innovation and cutting-edge technologies across the energy sector. We also have strong academic partnerships and collaborations with leading universities and technology institutes to accelerate decarbonization efforts within the energy sector.

 

We are committed to positively contributing to the communities in which we operate through programs on STEM Education, Skilling, and Livelihood across India. We nurture and invest in startups developing initiatives focused on accelerating energy innovation through programs such as Shell E4 and Shell Eco-marathon. We also have strategic investments in new energy companies such as Husk Power, d.light, Orb Energy, and Cleantech Solar.


DISCLAIMER:

Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer.

How we rate this

Senior Data Engineer at Shell rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringLakehouseData GovernanceETLLangGraphDatabricksAzure DatabricksPyspark

Also common in data engineer jobs at this level

Pay

Typical data engineer job
$150k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

  1. Tell me about a project where data engineering was part of your work. What did you do?
  2. Tell me about a project where lakehouse was part of your work. What did you do?
  3. Tell me about a project where data governance was part of your work. What did you do?
  4. Tell me about a project where etl was part of your work. What did you do?
  5. Walk me through how you've used LangGraph in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Engineering, Lakehouse, Data Governance, ETL, and LangGraph. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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