At a Glance
- Tasks: Design and build large-scale data pipelines that power global retail decisions.
- Company: A leading tech company recognised as a Great Place to Work across seven countries.
- Benefits: Flexible hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team with real influence and career advancement opportunities.
- Why this job: Shape the future of data infrastructure for some of the world's biggest brands.
- Qualifications: 7+ years in data systems, experience with tools like Airflow, Spark, and AWS.
The predicted salary is between 63000 - 77000 £ per year.
Staff Data Engineer Belfast (Hybrid/ Remote) | Full-time
Staff-level ownership of large-scale, distributed data pipelines, not just execution.
Modern open-source stack: Airflow/Dagster, Spark, dbt, Kafka, AWS.
Flexible Hybrid working out of Belfast.
Join a platform already moving billions of consumer interactions a year, still scaling.
About the Company:
This business has spent two decades quietly becoming essential infrastructure for global retail: a network that now connects thousands of brands and retailers with billions of consumers worldwide, built from a single office in 2005 into an operation spanning North America, Europe, Asia and Australia. It has been independently recognised as a Great Place to Work across seven countries, a rare feat for a company operating at this scale.
The Role:
As a key member of the Insights team, you'll design, build and support the large-scale distributed data systems that power decision-making for some of the world's biggest retail brands. This is a genuinely senior, hands-on role: you'll shape architecture, set engineering standards, and have real influence over how data infrastructure scales as the business grows further.
Key Responsibilities:
- Design and build large-scale, distributed data pipelines and storage systems.
- Own reliability and scalability of core data infrastructure.
- Optimise data storage and retrieval processes across the platform.
- Collaborate with cross-functional teams to translate data requirements into solutions.
- Champion software engineering best practice across the data function.
- Troubleshoot and resolve issues across distributed systems.
- Mentor and influence engineering standards across the team.
Essential:
- 7+ years designing and building robust, scalable, distributed data systems and pipelines.
- Strong experience with orchestration tools such as Apache Airflow or Dagster.
- Experience with dbt, Spark, SQL, Athena/Trino, Redshift, Snowflake, PostgreSQL/MySQL.
- Experience with public cloud (AWS, GCP or Azure) and Terraform.
- Strong grasp of CI/CD, git, agile delivery and containerisation.
Desirable:
- Knowledge of event-driven and streaming technologies (Kafka, Kafka Streams, Flink).
- Prior technical leadership or mentoring experience.
Why Apply?
- Hybrid working model based in Belfast.
- Staff-level scope with genuine architectural influence.
- Work on a platform processing data at genuinely global scale.
- Backed by a company independently certified as a Great Place to Work in seven countries.
- Modern, open-source-first engineering culture.
Next Steps:
Interested, or know someone who'd be a great fit? Get in touch with Chanel for a confidential chat.
Staff Data Engineer (Exclusive) in Lisburn employer: Ocho
Join a dynamic and innovative digital consultancy that champions a remote-first work culture, offering exceptional benefits such as a competitive salary, generous annual leave, and a commitment to professional development. With a focus on quality and collaboration, you'll thrive in an environment that values your expertise and provides the autonomy to shape QA processes while working on complex, multi-component systems alongside a talented team in Northern Ireland.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Data Engineer (Exclusive) in Lisburn
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Ocho!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Ocho.
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We think you need these skills to ace Staff Data Engineer (Exclusive) in Lisburn
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Ocho, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ocho. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ocho
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ocho!
✨Prepare for Case Studies
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.
