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Job Description You will lead a team and create technology products that help people have the best experience they have ever had. We are looking for a leader with a strong passion for both technology and people, who is motivated to build outstanding products. The ideal candidate brings deep technical expertise across multiple technologies, a strong track record of delivery, and proven experience in building and leading high-performance engineering teams. Responsibilities Design, implement, and test data pipelines, ETL/ELT processes, and data storage solutions Build and maintain scalable, reliable, and high-performance pipelines for structured and unstructured data Work with big data technologies and distributed systems to process and transform large datasets Collaborate with data modelers, data scientists, and solution architects to ensure efficient data flows and optimal storage Partner with data scientists and analysts to deliver clean, well-structured, and accessible data Coordinate with integration teams and data source owners for smooth ingestion of data from multiple systems Automate provisioning, deployments, and environment management for data platforms Create and support APIs and data services for internal and external consumers Ensure solutions meet requirements for scalability, performance, data quality, and governance Qualifications Hands-on experience with ETL/ELT design and implementation Familiarity with big data ecosystems (e.g., Spark, Hadoop, Kafka, Flink) Experience with one or more cloud platforms (Azure, AWS, GCP) and modern data engineering tools (e.g., Databricks, Snowflake, BigQuery, Synapse) Proficiency in programming languages such as Python, Java Solid understanding of SQL and experience with both relational and non-relational databases Experience with data modeling, schema design, and data partitioning strategies Knowledge of workflow orchestration tools (e.g., Airflow, Data Factory) is a plus Some exposure to AI and agentic platforms, and familiarity with cloud providers managed AI services (e.g., Azure AI Foundry, AWS Bedrock, Vertex AI), is a plus Some exposure to DevOps practices and infrastructure (e.g., IaC, containers, cloud infrastructure) is a plus Experience with version control (e.g., Git) and CI/CD practices Familiarity with Agile development methodologies and test management basics Bachelor s degree in Computer Science, Engineering, or related field (or equivalent experience) 7+ years of professional experience in data engineering or related roles Strong teamwork, communication, analytical thinking, and problem-solving skills Fluent in English, both spoken and written Curiosity and drive to continuously learn, adapt, and share knowledge Additional Information An inclusive workplace that promotes diversity and collaboration. Access to ongoing learning and development opportunities. Competitive compensation and benefits package. Flexibility to support work-life balance. Comprehensive health benefits for you and your family. Generous paid leave and holidays. Wellness program and employee assistance. As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. Company Description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.