Data Engineer (Power BI) - R&D, IFS ESG

Colombo, Sri Lanka

Company Description

IFS is a billion-dollar revenue company with 6000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.

At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust.

We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.

By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.

We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.

If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS.

Job Description

We, the IFS ESG team, lookouts for dynamic and open-minded individuals to join us as Power BI Data Engineers, to work on ESG (Environmental, Social and Governance) related developments. 

This is a great opportunity to work in the Sustainability and ESG  where you will get the opportunity to work on developing products aimed at helping companies achieve their sustainability goals and report on their progress in-line with international standards. The ESG product is in an incubation phase giving the opportunity work on iterative product development consistent with a customer centric approach.

We are seeking a skilled and experienced Data Engineer with expertise in Power BI to join our team. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure and analytics solutions using Power BI. You will be responsible for ensuring the availability, reliability, and accuracy of data while creating visually appealing and insightful reports and dashboards.

Specifically, it will involve:

  • Designing, developing, and maintaining data pipelines and ETL processes to extract, transform, and load data into Power BI
  • Collaborating with cross-functional teams to understand data requirements and translate them into efficient data models and visualizations
  • Building and optimizing data models in Power BI to support complex analytical queries and reporting needs
  • Implementing data governance and data quality best practices to ensure data integrity and accuracy
  • Monitoring and troubleshooting data issues, ensuring timely resolution and proactive identification of potential bottlenecks
  • Staying up to date with the latest Power BI features, tools, and best practices to continuously improve data analytics capabilities

Qualifications

Essential:

  • Degree in Software Engineering, Information Technology or equivalent professional qualification

Desirable:

  • Previous experience as a data engineer or in a similar role
  • Analytical and Reporting skills (Power BI) would be a plus
  • Data engineering certification
  • Tenacious, with a passion to get the job done
  • Strong experience in data engineering and designing data solutions using Power BI
  • Proficient in developing ETL processes, data pipelines, and data transformation using Power Query and M languages
  • In-depth understanding of relational databases, data warehousing concepts, and SQL
  • Familiarity with data modeling, data integration, and data governance principles
  • Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights
  • Excellent communication and collaboration skills to work effectively with cross-functional teams

Additional Information

Interviews and selections are being made continuously. If you are interested, apply as soon as possible.

As a step in our recruitment process, all final candidates will undergo a background check, to get us an understanding of our future employees.

We respectfully decline all offers of recruitment and/or advertising assistance.

IFS Fact
IFS develops and delivers enterprise software for customers around the world who manufacture and distribute goods, build and maintain assets, and manage service-focused operations. The industry expertise of our people and solutions, together with a commitment to delivering value to every one of our customers, has made IFS a recognized leader and the most recommended supplier in our sector. Our team of 6,000+ employees and growing ecosystem of partners support more than 10,000 customers around the world challenge the status quo and realize their competitive advantage. Learn more about how our enterprise software solutions can help your business today at ifs.com.

 

Apply now Apply later
  • Share this job via
  • or

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

Tags: Data Analytics Data governance Data pipelines Data quality Data Warehousing Engineering ETL Pipelines Power BI R R&D RDBMS SQL

Region: Asia/Pacific
Country: Sri Lanka
Job stats:  3  0  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.