Data Engineer

Epiroc is a leading productivity partner for the mining, infrastructure and natural resources industries. With
cutting-edge technology, Epiroc develops and produces innovative drill rigs, rock excavation and construction
equipment, and provides world-class service and consumables. The company was founded in Stockholm,
Sweden, and has passionate people supporting and collaborating with customers in more than 150 countries.
Learn more at http://www.epirocgroup.com.

Data Engineer    

Do you want to be a part of creating the next level analytics with us? We are currently looking for a Lead Data Engineer to further strengthen our Global Data Analytics Team in the AI and Machine Learning area.

By joining our Team, you can expect an atmosphere of creativity, innovation, and workplace diversity. We know that the best teams are built by diversity and inclusion. You will be a part of a skilled group of committed and helpful colleagues with a 'dare to think new’ attitude and who all take pride in our core values: Collaboration, Commitment, and Innovation.

Your mission
Create maintainable automated and state of the art data-pipelines with fail-notifications and cost control from a variety of sources to finalized data-products. 
You will guide and educate Epiroc employees on how to extract value from the data ensuring compliance and governance and responsible usage. 
Collaboration with data governance teams and participating in vetting and promoting content created by business analysts and data scientists to the curated data catalog for governed reuse.
Collaborate across departments: You will need strong collaboration skills to work with varied stakeholders within the organization. 
In particular, the data engineer will work in close relationship with data science teams and with business (data) analysts in refining their data requirements for various data and analytics initiatives and their data consumption requirements ensuring that the data is fit for purpose.

Your profile
A bachelor's or master's degree in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field [or equivalent work experience] is required.
Demonstrated success in working with both IT and business in an agile environment while integrating analytics and data science output into business processes and workflows in a collaborative environment.
Strong ability to design, build, optimize and manage data pipelines for big data structures encompassing data transformation, data models, schemas, metadata, and workload management.
Strong experience with various Data Management architectures such as Data Lakehouse, Data Lake, Data Warehouse and the supporting processes including Data Integration, Governance and Metadata Management. Good understanding of open-source message queuing technologies and streaming technologies.
Strong experience with programming languages such as SQL, R, Python or Scala as well as DevOps and DataOps way of working for version control, automated builds, testing and release management capabilities using tools like Github or Azure Devops.
Strong experience supporting and working with cross-functional teams in a dynamic business environment and required to have the accessibility and ability to interface with, and gain the respect of, stakeholders at all levels and roles within the company.

Required to be highly creative and collaborative. An ideal candidate would be expected to collaborate with both the business and IT teams to define the business problem, refine the requirements, and design and develop data deliverables accordingly. 
The successful candidate will also be required to have regular discussions with data consumers on optimally refining the data pipelines developed in nonproduction environments and deploying them in production. 
Is a confident, energetic initiative-taker, with strong interpersonal skills with good judgement and a sense of urgency and has demonstrated commitment to high standards of ethics, regulatory compliance, customer service and business integrity.
Certifications as AZ-900, Microsoft Azure Fundamentals and DP-203, Data Engineering on Microsoft Azure.

Location
As this is global function, this position can be in any of the 8 regional hubs.  Some business travel will be required, 10% or less for a year.  Some could be international.  

Application and contacts
In this recruitment process, we review applications continuously. Welcome with your application as soon as possible, by creating an account in our recruitment system. Last day to apply for this position is 2022-11-20.
For questions about the position, please contact recruiting manager Prem Nair, Global BI Product Manager, [email protected] or recruiter specialist Dana Galova, [email protected]

A hybrid workplace 
Life at Epiroc can include the possibility for a hybrid workplace. It is a way of working that offers flexibility and participation allowing for a better balance between work and private life, which also promotes well-being. The hybrid workplace is an opportunity if work allows, based on your role, responsibilities, and individual conditions