Jobs

Data Engineer


Job details
  • Slalom
  • Manchester
  • 4 months ago

Data Engineer

We have a question for you - and it’s something we’re really passionate about. Can you imagine a world in which you can truly love your life and your work? Well, we have some good news – creating that world and making this vision a reality is what we get out of bed for, it’s our north star. 

But what do we really mean when we talk about loving your life and your work? Let’s take a look at the ways in which we help our team members to achieve this – and the ‘how’. 

Deep connections, better outcomes We have deep relationships with over 400 leading technology partners and they love us for our innovative and outcome based approach. Our people are passionate about solving our clients’ problems using the tech that’s the best solution for them. What’s more, we’re there to work side-by-side with our client teams to enable them for success long after we’ve gone. We’re all about momentum that outlasts us. 

Flexibility Life is busy and we appreciate that. We’re often juggling work, family, and personal commitments. We do everything we can to support our people in prioritising what matters to them while also working on high-impact projects that they’ll love. 

People-first Great solutions start with great people. And those great people are at their best when they’re empowered to be their true authentic selves. Through leading with kindness and empathy, and striving for equity, we’re able to create better experiences for our people and our clients. Our culture is central to everything we do - encouraging passion and adventure, adaptiveness, and diversity of thought. Inclusion, diversity and equity is at the top of our agenda, we have created a community where we empower our team to be the best version of themselves. 

Rewards There’s no shying away from it - the compensation and benefits on offer have to be competitive too, right? We know that. That’s why we have a dedicated team working with our leaders to ensure our packages are fair, competitive, and rewarding! 

Take a look at the role below and if something sparks your interest, apply! 

Slalom's Data & Analytics Practice

At Slalom, we believe that through our trusted relationships with our clients, we can create modern data solutions that drive results and improve the world. You be joining a team in Manchester who cover capabilities that span the entirety of Data. Interested in Strategy? Have a passion for Architecture? Want to work in a team that is pushing the forefront of the latest technology in the ML and Ai space? We can offer you this. Slalom is agnostic when it comes to the technology we work with and we support clients in a range of cloud partnerships including: AWS, Azure, Snowflake and Databricks to name but a few. We are interested in individuals who are passionate and curious about what is next. 

The Role

As a Data Engineer, your primary responsibility is to design, build, and maintain the infrastructure that enables efficient handling of large volumes of data. This involves creating data pipelines, leveraging cloud platforms like AWS or Azure, using tools like Terraform for automation, and programming in Python for data processing. You collaborate with cross-functional teams to ensure data integrity and enable data-driven decision-making 

You and what you bring:

Experience with AWS or Azure cloud services for data storage, processing, and analytics, ensuring scalability, reliability, and security of data infrastructure.  Strong programming skills in Python ans SQL for data manipulation, transformation, and automation tasks, leveraging libraries such as Pandas, NumPy, and TensorFlow for efficient data processing and analysis.  Experience with Terraform for infrastructure as code (IaC), enabling the provisioning and management of cloud resources, and ensuring consistency and repeatability across environments.  Deep understanding of platform engineering principles, including designing and building robust, scalable, and fault-tolerant data platforms to support diverse data processing and analytics requirements.  Ability to collaborate with cross-functional teams to architect, implement, and optimize data pipelines and workflows, ensuring efficient data ingestion, processing, and delivery within the data ecosystem 

Slalom is a next-generation professional services company creating value at the intersection of business, technology, and humanity. With our fiercely human approach, we deeply understand our customers—and their customers—to deliver practical, end-to-end solutions that drive meaningful impact. Backed by over 700 technology partners, our nearly 12,000 team members in eight countries and 49 offices help people and organisations dream bigger, move faster, and build better tomorrows for all. We’re honoured to be consistently recognised as a great place to work, including being one of Fortune’s 100 Best Companies to Work For nine years running. Learn more at slalom.com.

Slalom is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. 

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