Data Engineering Manager

Mumbai, India

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Verisk

The world's most effective and responsible data analytics company in pursuit of our customers' most strategic opportunities.

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Company Description

 

"Wood Mackenzie are the global research, analytics, and consultancy business powering the natural resources industry. For 50 years, we have been providing the quality data, analytics, and insights our customers rely on to inspire their decision making.

Our dedicated oil, gas & LNG, power & renewables, chemicals, metals & mining sector teams are located around the world and deliver a variety of projects based on our assessment and valuation of thousands of individual assets, companies, and economic indicators such as market supply, demand, and price trends.

We have over 1,900 employees in 30 locations, serving customers in nearly 80 countries. Together, we inspire and innovate the markets we serve – providing invaluable intelligence to help our customers overcome the toughest challenges, and make strategic decisions that will, ultimately, accelerate the world’s transition to a more sustainable future."

Job Description

Wood Mackenzie is looking for a dynamic Data Engineering Manager with demonstrated leadership capability to actively lead the way in modern software development practices and standards. This role is integral to a high functioning and innovative team, providing a unique blend of business and technical savvy to perceive the big-picture vision with the know-how to make that vision a reality.

The person that fills this role must be a self-starter with a strong work ethic, energized by a challenge, passionate about bringing great products to market and love the thrill of creating a new standard for what’s possible.

If you are looking to work for a company that matters, a company which has a significant and growing impact in the world, and if having a sense of purpose and contribution is important to you, we want to hear from you.

Qualifications

What you'll do…

As a Data Engineering Manager your principal responsibilities will be to manage, coach and mentor a team of data engineers whilst ensuring modern data engineering development practices, standards and architectures are applied consistently across the development streams.

Additionally, in this role you will have the opportunity to contribute to and drive technical direction, architecture design and our data teams approach to solve domain specific problems. You will also be responsible for defining, prioritising and facilitating the implementation of specific deliverables that align with our Data and Product roadmap.

This will involve:

  • Collaborating with product owners to ensure the technical deliverables are met
  • Ensuring teams have appropriately high technical competence and strive for excellence
  • Identifying bottlenecks and mitigate high-risk elements in the process and remove roadblocks to success
  • Striving for measurable improvements and efficiencies to the team’s capabilities and outputs
  • Facilitate post-mortems for outages and high priority bugs and present lessons learned

Key areas of technical expertise should include data processing and orchestration technologies (e.g. Python, Spark, Airflow) and a cloud first approach (AWS).

What you are all about.

Your excellent leadership skills are invaluable to creating and maintaining a culture of shared responsibility and continuous improvement across your team. You are passionate about empowering your team to make decisions, adapt to change, and advancing their technical expertise in order to develop personally & professionally. You will be able to facilitate honest and open communications between disciplines and effectively communicate technical concepts to business stakeholders, and communicate business objectives to technical teams. Finally, you hold yourself to the highest of professional and ethical standards and demand the same of your colleagues.

 

 

 

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Additional Information

Wood Mackenzie is the global leader in data, analysis and consulting across the energy, chemicals, metals, mining, power and renewables sectors.

Founded in 1973, our success has always been underpinned by the simple principle of providing trusted research and advice that makes a difference to our customers. Today we have over 2,000 customers ranging from the largest global energy companies and financial institutions to governments as well as smaller market specialists.

Our teams are located around the world. This enables us to stay closely connected with customers and the markets and sectors we cover. Collectively this allows us to offer a compelling combination of global commodity analysis with detailed local market knowledge.

We are committed to supporting our people to grow and thrive. We value different perspectives and aspire to create an inclusive environment that encourages diversity and fosters a sense of belonging. We are committed to creating a workplace that works for you and encourage everyone to get involved in our Wellness, Diversity and Inclusion, and Community Engagement initiatives. We actively support flexible working and are happy to consider alternative work patterns, taking into account your needs and the needs of the team or division that you are looking to join. 

Hear what our team has to say about working with us:

https://www.woodmac.com/careers/our-people/

 

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

Tags: Airflow Architecture AWS Consulting Engineering Python Research Spark

Perks/benefits: Career development Flex hours Wellness

Region: Asia/Pacific
Country: India
Job stats:  6  0  0

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