Data Engineering Manager

We are an organisation that exists to drive progress. That's the "red thread" that connects everyone at The Economist Group (TEG). Our businesses share a devotion to innovation, independence and rigour in their fields of expertise. We empower people to understand and tackle the critical challenges and changes facing the world. Our analytical rigour, global expertise and evidence-based insights enable individuals and organisations to make sense of these shifts and chart a course through them.

We deliver analysis and insights in many formats to subscribers and clients in 170 countries through our four businesses, The Economist, Economist Impact, Economist Intelligence and Economist Education, which uphold our global reputation for excellence and integrity.

We are recruiting for a technically strong, people-centric Data Engineering Manager to lead a high-impact AI & Data engineering team based in India. This group will build the data platform and products to support the analytics, insights and data science needs for our core subscription business. Data has always been at the heart of the Economist Group, and ultimately we aim to help the business make data driven judgements based on real time, actionable insights

How you will contribute in this role:

• Work with data product managers, analysts, and data scientists to build data and ML pipelines, data warehouse/data lake-house for analytics, reporting and prediction.
• Build pipelines and data lake house/warehouse with data feeds/APIs using Lakehouse, Snowflake, Apache Airflow, Amazon EMR on Snowflake and AWS data lake house.
• Work with data quality and observability tools, CI/CD frameworks to maintain data engineering excellence.
• Work on data modelling, lineage and data governance
• Manage and support a team of engineers through regular 1:1s, coaching, performance feedback, and career development. Foster an inclusive, growth-oriented team culture
• Contribute to engineering strategy and practices. Shape processes, team rituals, and tooling that enable your team to deliver high-quality code efficiently and safely
• Take full ownership of systems in your domain, ensuring observability, uptime, performance, documentation, and operational readiness
• Understand the productivity of your teams and the factors affecting productivity and intervening when required

What we're looking for:

• Professional experience of designing, building data pipelines and managing data platforms (including ETL, ELT and lambda architectures), using technologies such as Apache Airflow, Amazon Athena, AWS Glue, Amazon EMR, or other equivalent.
• Expert level knowledge of both SQL and programming (Python, Scala, or Java)
• Experience with data technologies such as object storage (s3, hdfs), lakehouse (Iceberg or equivalent), data warehousing (Snowflake or equivalent), orchestration (Airflow or equivalent), data processing frameworks (Pyspark, pandas or equivalent) data modelling, lineage and governance tools.
• Professional experience in cloud platforms (AWS strongly preferred), such as serverless functions, API gateway, relational and NoSQL databases, and caching.
• Experience with IaC, CI/CD, containerization, and DevOps.
• Experience in working in teams with data scientists and ML engineers, for building ML pipelines for recommendation, customer lifetime value and propensity models.
• An advanced degree in software / data engineering, computer / information science, or a related quantitative field or equivalent work experience.
• Strong verbal and written communication skills and ability to work well with a wide range of stakeholders.
• Strong ownership, scrappy and biased for action.

#LI-Hybrid

We are an innovative organisation that encourages the use of technology. We recognise that candidates may utilise AI tools to support with their job application process. However, it is essential that all information you provide truthfully and accurately reflects your own experience, skills, and qualifications.

Our benefits package is designed to support your wellbeing, growth, and work-life balance. It includes a highly competitive pension or 401(k) plan, private health insurance, and 24/7 access to counselling and wellbeing resources through our Employee Assistance Program.

We also offer a range of lifestyle benefits, including our Work From Anywhere program, which allows you to work from any location where you have the legal right to do so for up to 40 days per year. In addition, we provide generous annual and parental leave, as well as dedicated days off for volunteering and even for moving home.

You will also be given free access to all The Economist content, including an online subscription, our range of apps, podcasts and more.