At a Glance
- Tasks: Build and manage data pipelines for critical business systems in a dynamic environment.
- Company: Join MiQ, a global leader in programmatic media with a focus on innovation.
- Benefits: Enjoy hybrid work, competitive healthcare, generous PTO, and performance bonuses.
- Other info: Be part of a diverse team committed to inclusion and professional growth.
- Why this job: Make a real impact by enabling finance insights and decision-making across the company.
- Qualifications: Experience in data engineering, cloud platforms, and strong SQL skills are essential.
The predicted salary is between 72000 - 88000 £ per year.
Location: UK
What you’ll do
We’re MiQ, a global programmatic media partner for marketers and agencies. Our people are at the heart of everything we do, so you will be too. No matter the role or the location, we’re all united in the vision to lead the programmatic industry and make it better. As a Data Engineer, you’ll have the chance to be responsible for development and maintenance of back-end data warehouse systems for our products and applications.
Who are your stakeholders?
Key stakeholders include the Finance, Traders, Sales, Account Management, Talent, Operations, IT along with tech SMEs across Platform, IT, Data management, Data Science & Analytics teams.
What you’ll bring
- Experience in data engineering and integration domain with in-depth exposure around building & managing data pipelines on cloud platforms (Azure or AWS).
- Extensive hands-on experience around Notebook Pyspark coding (Preferably on Databricks) & advanced SQL to develop & optimise data pipelines.
- In-depth understanding of data modelling & data transformation techniques while maintaining a high level of data quality & integrity.
- Strong software development skills using Hadoop technologies such as Hive, Spark etc.
- Experience working in Workday Studio and managing code within the Workday environment.
- Knowledge & exposure to SaaS Applications, such as Salesforce or any other CRM system.
- Well-versed with release management, incident management and SDLC methodologies through Bitbucket/GitHub and JIRA.
- Good understanding of infrastructure components such as clusters, nodes, compute, and storage needed for managing data pipelines and their performance.
- Proven problem-solving skills with the ability to anticipate roadblocks, diagnose problems and generate effective solutions.
- Outstanding stakeholder management & communication skills.
What impact will you create?
You will be a key driver to achieve end-to-end data integration by building automated, scalable and robust data pipelines across critical business systems to targeted Finance data repositories. You will manage the Finance integrations and data pipelines, learn new tools and SaaS systems, and manage end-to-end data flows. This is a critical role to enable the Finance function in MiQ, and your work will be showcased at the highest levels within MiQ. Your work will also enable business leaders across various enterprise functions to derive relevant finance and data insights for accurate reporting, and effective & timely decision-making. You would act as a Tech SME on data engineering, data integration and data management domain by applying leading design standards and implementation methodologies.
What’s in it for you?
Our Center of Excellence is the very heart of MiQ, and it’s where the magic happens. It means everything you do and everything you create will have a huge impact across our entire global business. MiQ is incredibly proud to foster a welcoming culture. We do everything possible to make sure everyone feels valued for what they bring. With global teams committed to diversity, equity, and inclusion, we’re always moving towards becoming an even better place to work. In this role, you will work with global Finance, Commercial, and IT teams, as well as with CoE teams, such as the Platform team. You will work with new technologies (Workday, Adaptive, Kyriba, Punditz) and have the opportunity to learn more about Finance, financial reporting, data engineering for Finance, end-to-end data flows in business critical systems, and using AI within business systems.
Benefits
Every region and office have specific perks and benefits, but every person joining MiQ can expect:
- A hybrid work environment.
- New hire orientation with job specific onboarding and training.
- Internal and global mobility opportunities.
- Competitive healthcare benefits.
- Bonus and performance incentives.
- Generous annual PTO paid parental leave, with two additional paid days to acknowledge holidays, cultural events, or inclusion initiatives.
- Employee resource groups designed to connect people across all MiQ regions, drive action, and support our communities.
Values
Our values are so much more than statements. They unite MiQers in every corner of the world. They shape the way we work and the decisions we make. And they inspire us to stay true to ourselves and to aim for better. Our values are there to be embraced by everyone, so that we naturally live and breathe them. Just like inclusivity, our values flow through everything we do - no matter how big or small.
- We do what we love - Passion
- We figure it out - Determination
- We anticipate the unexpected - Agility
- We always unite - Unite
- We dare to be unconventional - Courage
Apply today!
Equal Opportunity Employer
Junior Data Engineer in London employer: MiQ
MiQ is an exceptional employer that prioritises a welcoming and inclusive culture, ensuring every employee feels valued and empowered. With a strong commitment to diversity, equity, and inclusion, MiQ offers a hybrid work environment, competitive healthcare benefits, and generous PTO, alongside opportunities for internal mobility and professional growth. Joining our London team as a Senior Workday Integration Architect means being part of a dynamic organisation that encourages passion, determination, and courage in all aspects of work.
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We think this is how you could land Junior Data Engineer in London
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We think you need these skills to ace Junior Data Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
