Senior Data Engineer

Role Overview

We are looking for a Senior Data Engineer to join our Data & AI team and take ownership of designing, developing, and optimizing scalable data solutions.

In this role, you will work closely with Data Architects, Data Scientists, Business Analysts, and other engineering teams to transform complex data requirements into reliable, scalable, and high-performing data pipelines and data products.

You will play a key role in building modern data platforms, implementing data ingestion and transformation pipelines, ensuring data quality, and making trusted data available for analytics, reporting, and AI use cases.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines and data processing solutions using Python, SQL, and Apache Spark/PySpark

- Build and optimize batch and, where required, near-real-time data ingestion and transformation pipelines

- Design and implement scalable data models and curated datasets for analytics and AI use cases

- Work with modern cloud platforms (Azure, AWS, or GCP) and lakehouse/data warehouse architectures, including platforms such as Databricks and Snowflake

- Implement data transformation and processing patterns

- Develop and maintain data quality, validation, monitoring, and error-handling mechanisms

- Optimize data pipelines for performance, scalability, and cost efficiency

- Collaborate with Data Architects and Product Owners to translate technical decisions and business requirements into production-ready implementations

- Own the reliability and operational performance of production data pipelines, including monitoring, troubleshooting, incident resolution, and root-cause analysis

- Conduct code and design reviews and ensure engineering best practices are followed

- Mentor and support junior and mid-level Data Engineers

Required Qualifications & Skills

- BSc or MSc degree in Computer Science, Computer Engineering, Data Engineering, Data Science, Artificial Intelligence, or a related fields

- 5+ years of professional experience in Data Engineering, with strong experience in data integration, data processing, and analytics

- Strong hands-on experience with Python and SQL

- Experience with Apache Spark / PySpark or similar distributed data processing tools is a strong plus

- Proven experience designing and implementing data pipelines

- Strong understanding of data modeling, data warehousing, and data lake/lakehouse architectures

- Experience with data pipeline orchestration, scheduling, dependency management, and failure/reprocessing strategies

- Experience working with relational databases and large-scale data platforms

- Hands-on experience with cloud platforms, particularly AWS, Azure, or GCP

- Experience supporting AI/ML workloads, LLM integrations, or AI-powered applications is a strong plus

- Experience with Git and CI/CD practices

- Strong analytical, problem-solving, and communication skills

Preferred Qualifications

- Relevant certifications in data engineering or cloud technologies, such as Databricks, Microsoft Azure, AWS, or Google Cloud certifications

- Experience working with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Azure Synapse

- Experience with cloud-native data services such as Azure Data Factory, AWS Glue, or equivalent technologies

- Experience with Apache Kafka, Azure Event Hubs, or other streaming and event-driven data processing technologies

- Experience with Apache Airflow or other workflow orchestration tools

- Understanding of Data Governance, Data Catalog, metadata management, data lineage, data quality, and data security concepts

- Experience with data architecture and enterprise data platform design

- Knowledge of data visualization and business intelligence tools such as Power BI, Amazon QuickSight, or equivalent platforms

- Experience with automation tools or AI-assisted development workflows

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Equal Employment Opportunity Statement

We are looking for people with their own life story and out-of-the-ordinary resume. Individual, not just like the rest. Different rather than conventional. Diversity is our strength and an essential element of Accenture’s corporate culture. We want an inclusive and open working environment in which everyone can be their natural selves. Everyone is welcome to apply to Accenture, regardless of origin, creed, disability, age, nationality, marital status, partnership status, sexual orientation, gender or other legally protected reasons.

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.

We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.

At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.

Join Accenture to work at the heart of change. Visit us at www.accenture.com.