At a Glance
- Tasks: Design and build large-scale data systems and pipelines that power global products.
- Company: Global tech company recognised as a Great Place to Work.
- Benefits: Competitive salary, hybrid working, health benefits, and clear career growth.
- Other info: Join a dynamic team and mentor fellow engineers in a collaborative environment.
- Why this job: Shape data architecture decisions and work on impactful, scalable systems.
- Qualifications: 6+ years in data engineering with strong software practices.
The predicted salary is between 63000 - 77000 £ per year.
At a Glance
Staff-level data engineering role building large-scale, distributed data systems and pipelines in Belfast, hybrid working.
Circa £80,000 to £90,000, dependent on experience.
Modern data stack: Airflow/Dagster, Spark, dbt, Kafka, AWS.
About the Company
Our client is a well-established, global technology business with an international footprint spanning North America, Europe, Asia and Australia. Founded in the mid-2000s, the company has grown steadily and has been recognised as a Great Place to Work across multiple regions. It's a business where data engineering sits at the heart of the product, not on the periphery.
The Role
You'll join a growing engineering function within an established global technology business, taking a lead role in designing and building the data infrastructure that powers the company's products and services. You'll work with a high degree of autonomy across the full data lifecycle, from ingestion through to storage, transformation and delivery, partnering closely with data scientists, analytics engineers and product teams. This is a senior, hands-on role for someone who wants to shape data architecture decisions rather than simply execute against them, and who thrives in a business where data quality and scale genuinely matter to the product.
Key Responsibilities
- Design and build large-scale, distributed data pipelines and systems that underpin core products and services.
- Own the reliability, scalability and performance of critical data infrastructure.
- Lead the technical direction for data orchestration, storage and processing architecture.
- Drive adoption of strong software engineering practices across the data function, including testing, CI/CD and version control.
- Collaborate with cross-functional teams to translate data requirements into robust, production-grade solutions.
- Optimise data storage and retrieval processes for scale and cost efficiency.
- Mentor engineers and champion best practice across the wider data engineering team.
- Troubleshoot and resolve complex data infrastructure issues as they arise.
- Stay ahead of emerging data engineering technologies and bring relevant innovation into the business.
What You'll Need
Essential:
- 6+ years' experience designing and building robust, scalable, distributed data systems and pipelines.
- Strong experience with data orchestration tools such as Apache Airflow or Dagster.
- Experience with big data storage and processing technologies such as dbt, Spark, SQL, Athena/Trino, Redshift, Snowflake, PostgreSQL or MySQL.
- Knowledge of event-driven architectures and streaming technologies such as Apache Kafka, Kafka Streams or Apache Flink.
- Experience with public cloud environments such as AWS, GCP, Azure or Terraform.
- Strong grounding in software engineering practices: testing, CI/CD (Jenkins, GitHub Actions), agile development, version control and containers.
- BSc in Computer Science or a related discipline.
Desirable / Nice to Have:
- Prior experience operating at a technical leadership or staff level within a data engineering function.
- Exposure to consumer or product analytics platforms at scale.
Why Apply?
- Circa £75,000 to £80,000, dependent on experience.
- Hybrid working from Belfast.
- Genuine autonomy to shape data architecture decisions, not just implement them.
- Work on systems that operate at real scale, supporting a global product.
- Strong benefits package including health and pension provision.
- A business recognised as a Great Place to Work across multiple regions.
- Clear path to grow your technical leadership within the data function.
Next Steps
If this sounds like your next move, get in touch with Eve Geddis directly on LinkedIn or via email to find out more and apply.
Skills: Airflow, Kafka, SQL
Benefits: Medical Aid / Health Care, Pension Fund
Senior Data Engineer 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.
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We think this is how you could land Senior Data Engineer in Lisburn
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We think you need these skills to ace Senior Data Engineer 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!
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✨Brush Up on Your Statistics
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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!
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✨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.
