Enterprise Technology Engineer

bp; Pune District; Hybrid; INR 1.500.000 - 2.200.000; Vollzeit

Zusammenfassung

bp seeks an Enterprise Tech Engineer - Data Engineering to design, build, and support scalable data pipelines for BI and analytics within Digital Trading Analytics. You will ensure data accuracy, timeliness, security, and usability across systems, enabling reliable data products for trading operations.

You will use approved AI-enabled tooling to accelerate delivery while maintaining governance and security.

Qualifikationen

• 3+ years of data engineering experience in an enterprise environment.
• Strong Python and Pandas skills, including HTTP/API integration.
• Advanced SQL and solid understanding of relational data modelling and databases.
• Proven ETL/ELT and pipeline design experience, including hands-on Apache Airflow.
• Hands-on Databricks and distributed processing experience; Spark/PySpark and Delta Lake are strongly preferred.
• Experience building and operating data solutions on AWS, including S3 and relevant managed data services; familiarity with IAM is expected.
• Experience with EKS is helpful where workloads run on Kubernetes.
• Experience with messaging or streaming systems such as Kafka; familiarity with event-driven data patterns is helpful.
• Solid understanding of Linux, Git, pull-request workflows, and CI/CD. Azure DevOps experience is helpful.
• Familiarity with Docker, infrastructure as code (for example Terraform, Jenkins), and secure cloud deployment practices.
• Experience with Tableau, Power BI, or similar visualisation tools.
• Understanding of secure engineering standards and documentation practices.
• Basic practical knowledge of LLMs, RAG, prompt design, context design, and safe use of AI developer tools.
• Strong analytical, problem-solving, communication, collaboration, and organisational skills.
• A responsible, self-motivated, adaptable approach and a genuine interest in automation.
• Experience in trading, financial services, energy, or another regulated data-intensive domain is advantageous.

Aufgaben

• Architect, design, and implement robust data pipelines using Python, Pandas, SQL, Apache Airflow, and Databricks.
• Build and maintain ETL/ELT processes that ingest data from APIs, relational databases, event streams, and flat files.
• Develop cloud-based data solutions using AWS services such as S3, EC2, EKS, IAM, Glue, and CloudWatch where appropriate.
• Optimise, monitor, and troubleshoot pipelines for performance, cost, resilience, and scalability.
• Use distributed processing technologies such as Spark/PySpark and Delta Lake for large-scale workloads.
• Implement data quality checks, lineage, observability, and clear operational runbooks.
• Create clear data visualisations and technical communication for both technical and non-technical audiences.
• Work with multi-functional partners to translate trading and business needs into fit-for-purpose data solutions.
• Apply Agile practices, version control, code review, automated testing, and release subject area.

Kenntnisse

Python

Pandas

SQL

Apache Airflow

Databricks

Ausbildung

Bachelor’s or Master’s in CS/Engineering/IS or related field

Tools

AWS

S3

IAM

EKS

Apache Airflow

Databricks

Spark/PySpark

Delta Lake

Docker

Terraform

Jenkins

Azure DevOps

Tableau

Power BI

Kafka

Jobbeschreibung

Entity:

Technology

Job Family Group:

IT&S Group

Job Description:

Enterprise Tech Engineer - Data Engineering

Digital Trading Analytics | Trading Analytics & Insights (TA&I)

At bp, our people are our most valuable asset. The Technology DS&C, People, Culture & Communications (PC&C) function fosters a diverse, inclusive culture where everybody can thrive. As we transition from an oil company to an integrated energy company, we are embarking on a major transformation to be more competitive, responsive, and customer-focused.

We’re investing in key locations such as India, Hungary, Malaysia, and Brazil, offering an exciting but challenging opportunity to shape a fast-moving PC&C function, building teams and structures and driving continuous improvement.

We’re looking for driven, ambitious enthusiasts who thrive in fast-paced environments and are passionate about people. If you’re ready to build something transformative, this is the place for you.

The Global Solution Owner Automation and AI is responsible for owning the products, architecture, vendor relationships, and compliance globally.

You will work with

You will join Digital Trading Analytics and support the Trading Analytics & Insights (TA&I) organisation. We are a global, high-performing team that works closely with traders, trading analysts, business analysts, and engineers to turn data into useful insight for energy trading.

You will work in an Agile delivery environment using Kanban and Scrum practices. Azure DevOps is used to plan, track, and deliver work.

About the role

As an Enterprise Tech Engineer - Data Engineering, you will design, build, and support scalable data pipelines for business intelligence and analytics platforms. You will ensure data is accurate, timely, secure, and easy to use across systems. Your work will directly support trading operations through reliable, high-quality data products.

You will also use approved AI-enabled engineering tools responsibly to improve coding speed, quality, documentation, and problem solving. This is not an AI research role; it requires practical AI fluency and sound engineering judgement.

What you will deliver

• Architect, design, and implement robust data pipelines using Python, Pandas, SQL, Apache Airflow, and Databricks.

• Build and maintain ETL/ELT processes that ingest data from APIs, relational databases, event streams, and flat files.

• Develop cloud-based data solutions using AWS services such as S3, EC2, EKS, IAM, Glue, and CloudWatch where appropriate.

• Optimise, monitor, and troubleshoot pipelines for performance, cost, resilience, and scalability.

• Use distributed processing technologies such as Spark/PySpark and Delta Lake for large-scale workloads.

• Implement data quality checks, lineage, observability, and clear operational runbooks.

• Create clear data visualisations and technical communication for both technical and non-technical audiences.

• Work with multi-functional partners to translate trading and business needs into fit-for-purpose data solutions.

• Apply Agile practices, version control, code review, automated testing, and release subject area.

AI-enabled engineering and productivity

You will use approved AI tools to accelerate delivery while protecting company data, validating output, and retaining accountability for production decisions.

• Understand practical AI fundamentals, including how LLMs generate responses, common limitations, hallucinations, and privacy risks.

• Use coding assistants and AI tools effectively for code drafts, tests, documentation, SQL review, debugging, and knowledge discovery.

• Write clear prompts: state the goal, constraints, inputs, expected output, and acceptance checks.

• Create useful context for AI tools using relevant schemas, examples, business rules, and bounded source material without exposing critical information.

• Understand RAG fundamentals: document retrieval, grounding, citations, evaluation, and access control.

• Evaluate AI-generated work through testing, peer review, source checks, and security review before production use.

• Keep current with approved emerging AI capabilities and propose practical uses that improve productivity or data quality.

What you will need to be successful

• 3+ years of data engineering experience in an enterprise environment.

• Strong Python and Pandas skills, including HTTP/API integration (for example, Requests). Use web automation only where it is approved, lawful, and appropriate for the source.

• Advanced SQL and solid understanding of relational data modelling and databases.

• Proven ETL/ELT and pipeline design experience, including hands-on Apache Airflow.

• Hands-on Databricks and distributed processing experience; Spark/PySpark and Delta Lake are strongly preferred.

• Experience building and operating data solutions on AWS, including S3 and relevant managed data services; familiarity with IAM is expected.

• Experience with EKS is helpful where workloads run on Kubernetes.

• Experience with messaging or streaming systems such as Kafka; familiarity with event-driven data patterns is helpful.

• Solid understanding of Linux, Git, pull-request workflows, and CI/CD. Azure DevOps experience is helpful.

• Familiarity with Docker, infrastructure as code (for example Terraform, Jenkins), and secure cloud deployment practices.

• Experience with Tableau, Power BI, or similar visualisation tools.

• Understanding of secure engineering standards and documentation practices.

• Basic practical knowledge of LLMs, RAG, prompt design, context design, and safe use of AI developer tools.

• Strong analytical, problem-solving, communication, collaboration, and organisational skills.

• A responsible, self-motivated, adaptable approach and a genuine interest in automation.

• Experience in trading, financial services, energy, or another regulated data-intensive domain is advantageous.

• A Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.

Why bp?

At bp, we support our people to learn and grow in a diverse and challenging environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly. Diversity Statement: At bp, we provide an excellent environment and benefits such as an open and inclusive culture, a great work-life balance, tremendous learning and development opportunities to craft your career path, life and health insurance, medical care package and many others!

Diversity sits at the heart of our company and as an equal opportunity employer, we stay true to our mission by ensuring that our place can be anyone’s place. We do not discriminate based on race, religion, colour, national origin, gender and gender identity, sexual orientation, age, marital status, veteran status or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Travel Requirement

Up to 10% travel should be expected with this role

Relocation Assistance:

This role is eligible for relocation within country

Remote Type:

This position is a hybrid of office/remote working

Skills:

Agility core practices, Agility core practices, API and platform design, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modeling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture {+ 6 more}

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Legal Disclaimer:

We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.