Senior Data Engineer
Job Summary
Job Description
- Lead data engineering solutions using Cognite Data Fusion.
- Drive integrations, data modeling and analysis.
- Experience from heavy asset industries is required.
- Experience with Python, SQL and Rest APIs.
- Experience with distributed computing and cloud services.
- Join an organization of 70 different nationalities
- Modern and fun working environment with great culture
- Flat structure with direct access to decision-makers
- Opportunity to work on ambitious projects
12 skills required
Job Details
About Cognite
Embark on a transformative journey with Cognite, a global SaaS forerunner in leveraging data to unravel complex business challenges through our cutting-edge Cognite Data Fusion (CDF) platform. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms. In the realm of industrial digitalization, we stand at the forefront, reshaping the future of Oil & Gas, Manufacturing and Energy sectors. As part of the esteemed Aker family, Cognite brings forth a legacy of innovation and excellence. Excitingly, we are set to extend our footprint to the vibrant landscapes of India, which opens the door for you to be part of the expansion from the beginning. Join us in this venture where data meets ingenuity, and together, we forge the path to a smarter, more connected industrial future.
Our teams are working on building the next-generation industrial data platform and applications across many different industries, such as Oil & Gas, Manufacturing, and Power & Utility. This includes enabling all types of workflows, including analytics, to assist in making better decisions. We are a good mix of engineers, products, and design. What we have in common is that we care deeply about the user experience and create products that users really want to use.
Our work environment is not just exciting and dynamic, but also intensely collaborative and supportive. You will work with the best domain and industry experts: designers, product managers, software developers, ML engineers, AI engineers and business leaders. We support one another, ask good questions, and give each other constructive feedback. Our goal is to leverage our diverse set of strengths and backgrounds to build innovative products, to think outside the ordinary, and grind through and nurture a great.
Learn more about Cognite here
Data Contextualization Masterclass 2023
Our values
Impact: Cogniters strive to make an impact in all that they do. We are result-oriented, always asking ourselves.
Ownership: Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and sharing responsibilities for challenges and success.
Relentless: Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless), facing challenges head-on and viewing setbacks as opportunities for growth.
About the position
We're looking for a Senior Data Engineer who is ready to tackle big challenges and advance their career. In this role, you'll join a dynamic team committed to creating cutting-edge solutions that significantly impact critical industries such as Power & Utilities, Energy, and Manufacturing. You'll collaborate with industry leaders, solution architects, data scientists and project managers, all dedicated to deploying and optimizing digital solutions that empower our clients to make informed business decisions.
If you're passionate about leveraging technology to solve tough problems and are eager to impact the way industries operate, we want to hear from you. Let's build the future of industrial data together.
A typical day as a Cogniter will contain the following tasks & responsibilities
- Lead the design and implementation of scalable and efficient data engineering solutions using our platform Cognite Data Fusion®.
- Drive and manage integrations, extractions, data modeling, and analysis using Cognite data connectors and SQL, Python/Java and Rest APIs.
- Create custom data models for data discovery, mapping, and cleansing.
- Collaborate with data scientists, project managers and solution architects engineers on project deliveries to enable our customers to achieve the full potential of our industrial dataops platform.
- Conduct code reviews and implement best practices to ensure high-quality and maintainable code and deliveries.
- Support customers and partners in conducting data engineering tasks with Cognite products.
- Contribute to the development of Cognite’s official tools and SDKs.
- Collaborate with our Engineering and Product Management teams to turn customer needs into a prioritized pipeline of product offerings.
We believe most of these should match your experience
- Bachelor or Master degree in computer science or similar. Relevant experience can compensate for formal education
- Minimum 5 years of experience in a customer-facing Data intense role
- Exposure to and experience from the heavy asset industry related to Oil & Gas, petrochemicals or energy is required
- Experience delivering production-grade data pipelines using e.g. Python, SQL and Rest APIs
- Experience with distributed computing such as Kubernetes and managed cloud services such as GCP and/or Azure
- Have a DevOps mindset, and experience with Git, CI/CD, deployment environments
- Enjoys working in cross-functional teams
- Able to independently investigate and solve problems
- Humility to ask for help and enjoy sharing knowledge with others
- Don’t meet every single requirement? We are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
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