Data Engineer

Company Description

OUR STORY

Let’s be honest: there are lots of people out there doing what we do. We’re just not convinced they’re doing it right. Businesses are hungry for innovation and opportunity, but not at the cost of their independence. At Ollion, we’ve connected companies and capabilities around the world to help ambitious organizations make the most of their transformation and leave the status quo in the dust.

WORKING AT OLLION

Innovation is risky. It demands bold steps and big questions, but that’s the price of making change. We’ve got our head in the cloud and two feet on the ground, channeling tech’s endless potential towards a single goal: making a world of difference. And we’re building a global team to do just that— a team capable of making game-changing breakthroughs without ever losing sight of the people it will impact. This is more than consulting. This is the change you can be.

THE OLLION DIFFERENCE

At Ollion, we’re all in on your independence. Our teams are seasoned. Our solutions are straightforward—sometimes even groundbreaking. And our engagements? Exactly as long as you want them to be. We deliver fresh thinking and hard-earned insight in a way that works for you and your customers, arming your organization with everything you need to make your transformation truly mean something.

WORKING WITH OLLION (our clients’ experiences)

Progress matters more than process. Our global team of cloud-native pros is all about creating new and better ways to work—not just by solving your tech challenges, but by using technology to solve your business challenges. We keep the formulas, frameworks, and ten-point plans to a minimum, tackling your most pressing problems with a proprietary mix of good-old-fashioned ingenuity and refreshing humanity.

DIVERSITY AT OLLION 

One of our cultural keystones, ‘Find the angle’ recognizes that every individual has different aspirations, needs and brings a unique perspective. 

We value diversity, inclusion, and equity (DE&I) as core to our success. We believe that a diverse workforce brings together unique perspectives, experiences, and ideas, leading to innovation, creativity, and better outcomes for our clients and our organization. We are on a journey and are committed to building a workplace that celebrates and respects individuals from all backgrounds, including but not limited to race, ethnicity, gender, sexual orientation, age, disability, and cultural heritage.  

As our commitment to diversity and inclusion is reflected in our: 

• Awareness and sensitisation programs: to create awareness and sensitisation. We encourage open dialogue, active listening, and mutual respect, creating a safe and supportive environment for everyone to contribute their unique perspectives and ideas. 
• Dedicated efforts to building diverse teams: that leverage the strength of our differences to tackle complex challenges and drive innovation. By embracing diversity, we broaden our collective knowledge, enhance problem-solving capabilities, and unlock limitless potential for our employees.

Job Description

As a Data Engineer  - you have the unique opportunity to challenge the status quo, aiding the growth and defining the future of cloud data consumption for Enterprise Organizations.

While cloud technology has accelerated organizational change, the process of operationalizing, governing, and deriving value from data pipelines has been slow to evolve. This is your opportunity to be at the forefront of defining the next chapter of modern Data Engineering.

The successful candidate will evangelize the benefits of a modern, ELT-first approach, driving continuous, iterative improvement to our data platform. You won't just build pipelines; you will architect data-driven solutions that directly inform executive decision-making and operational excellence.

Job Requirements:

• Design and Development: Design ELT and ETL strategy to build performant data solutions that are reliable and scalable in a fast-growing cloud-native data ecosystem using tools such as dbt, Azure Data Factory, Coalesce (etc)

• Data Modeling and Warehousing: Develop and maintain optimized data models to support BI, reporting, and analytical workloads.

• Coding and Automation: Write complex, efficient SQL queries and develop scripts in Python (or other relevant languages like Scala/Java) for data manipulation, process automation, and pipeline orchestration

• Collaboration: Work closely with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality, actionable d