Staff Data Engineer

Gurugram

The Economist Group

The Economist Group is the leading source of analysis on international business and world affairs.

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Who we are

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. 

Our team of 200 colleagues is at the heart of The Economist Group’s digital-first agenda. Together, we are delivering user-friendly, high-quality digital products that bring data, intelligence and analysis to our growing global audiences across all our four businesses.

Our team develops cutting-edge products that provide valuable insights and analysis to business and government leaders worldwide. Whether it involves creating new products for the Economist Intelligence Unit, conceptualising mobile applications that deliver personalised content, or enhancing our flagship website, economist.com, the Technology team plays a crucial role in shaping how we attract, convert, engage, and retain our 1.2 million subscribers.

The Technology team collaborates closely with other teams to engineer innovative solutions that cater to the evolving needs of our subscribers. This includes leveraging advanced technologies and methodologies to enhance the acquisition of new subscribers, optimise conversion rates, deliver engaging user experiences, and ensure long-term subscriber loyalty.

The role:

We are recruiting data engineers across all levels to join the AI & Data engineering group.  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 lakehouse/warehouse with data feeds/APIs using Lakehouse, Snowflake, Apache Airflow, Amazon EMR on Snowflake and AWS data lakehouse.
  • Work with data quality and observability tools, CI/CD frameworks to maintain data engineering excellence.
  • Work on data modelling, lineage and data governance
  • Advocate for data architecture across the organisation

 

What we’re looking for:

  • 10+ years of 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 leading / mentoring data engineering teams.
  • 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.

Benefits

We offer excellent benefits including an incentive scheme, generous annual and parental leave policies, volunteering days and well-being support throughout the year, as well as free access to all Economist content. Country specific benefits are also offered.

Our Values

Our values are a collective set of beliefs and behaviours that strengthen The Economist Group's purpose and demonstrate where we want to be as an organisation. They reflect on our mission to pursue progress for individuals, organisations and the world.

Independence

We are not bound to any party or interest and encourage exploration and free-thinking. We champion freedom, both within our organisation and around the world.

Integrity

We are bold in our efforts to uncover the truth and stand up for what we believe in. We inspire trust through our rigour, fact-checking and transparency.

Excellence

We aspire to the highest standards in all we do. We are ambitious and inquisitive in our pursuit of continuous progress and innovation.

Inclusivity

We value diversity in thought and background and encourage healthy debate with a breadth of perspectives. We treat our colleagues and customers fairly and respectfully.

Openness

We foster a collaborative and empathetic culture conducive to the interests, wit and initiative of our colleagues. New ideas are our lifeblood.

The Economist Group values diversity. We are committed to equal opportunities and creating an inclusive environment for all our colleagues and potential colleagues regardless of ethnic origin, national origin, gender, gender identity, race, colour, religious beliefs, disability, sexual orientation, age, marital status or any other status.

Business Intro’s (Expanded)

The Economist

Through rigorous reporting, in-depth analysis and global perspective, The Economist explains today’s most important events and seeks to discern the trends that will shape tomorrow. At the core of everything we do is our independence, underpinned by our editorial culture and governance structure. 

With subscribers in more than 170 countries, The Economist is one of the most widely recognised and well-read current affairs publications in the world. In addition to the weekly print and digital editions and Economist.com, The Economist publishes Espresso, a daily news app; World in Brief, a daily news and analysis digest updated around the clock; numerous newsletters and podcasts including The Intelligence, our daily news podcast. 

Technology

Our team of 200 colleagues is at the heart of The Economist Group’s digital-first agenda. Together, we are delivering user-friendly, high-quality digital products that bring data, intelligence and analysis to our growing global audiences across all our four businesses.

Our team develops cutting-edge products that provide valuable insights and analysis to business and government leaders worldwide. Whether it involves creating new products for the Economist Intelligence Unit, conceptualising mobile applications that deliver personalised content, or enhancing our flagship website, economist.com, the Technology team plays a crucial role in shaping how we attract, convert, engage, and retain our 1.2 million subscribers.

The Technology team collaborates closely with other teams to engineer innovative solutions that cater to the evolving needs of our subscribers. This includes leveraging advanced technologies and methodologies to enhance the acquisition of new subscribers, optimise conversion rates, deliver engaging user experiences, and ensure long-term subscriber loyalty.

#LI-Hybrid 

What we offer

Benefits
We offer excellent benefits including an incentive programme, generous annual and parental leave policies, volunteering days and well-being support throughout the year, as well as free access to all Economist content. Country specific benefits are also offered.

Our Values
Our values are a collective set of beliefs and behaviours that strengthen The Economist Group's purpose and demonstrate where we want to be as an organisation. They reflect on our mission to pursue progress for individuals, organisations and the world.

Independence
We are not bound to any party or interest and encourage exploration and free-thinking. We champion freedom, both within our organisation and around the world.

Integrity
We are bold in our efforts to uncover the truth and stand up for what we believe in. We inspire trust through our rigour, fact-checking and transparency.

Excellence
We aspire to the highest standards in all we do. We are ambitious and inquisitive in our pursuit of continuous progress and innovation.

Inclusivity
We value diversity in thought and background and encourage healthy debate with a breadth of perspectives. We treat our colleagues and customers fairly and respectfully.

Openness
We foster a collaborative and empathetic culture conducive to the interests, wit and initiative of our colleagues. New ideas are our lifeblood.

The Economist Group values diversity. We are committed to equal opportunities and creating an inclusive environment for all our colleagues and potential colleagues regardless of ethnic origin, national origin, gender, gender identity, race, colour, religious beliefs, disability, sexual orientation, age, marital status or any other status.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Airflow APIs Architecture Athena AWS AWS Glue CI/CD Data governance Data pipelines Data quality Data warehouse Data Warehousing DevOps ELT Engineering ETL HDFS Java Lambda Machine Learning NoSQL Pandas Pipelines PySpark Python Scala Snowflake SQL

Perks/benefits: Parental leave Team events Transparency

Region: Asia/Pacific
Country: India

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