Senior Data Engineer

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Senior Data Engineer

role at

QiH Group
Our Company:
QiH is a fast-growing, innovative, and progressive scale-up business headquartered in London with a collective of brilliant brains in Skopje. We are at the start of an exciting journey as we build out our internal engineering capability, spearheading our tech transformation, building best in class products and tackling exciting and complex challenges along the way!
Data is at the core of what we do at QiH, but our people are at the heart of our success! At QiH, we have created an energetic and target-driven culture and continuously invest in each individual.
The Role:
Our Technology team is growing! We’re looking for a highly skilled and experienced Senior Data Engineer to design and build a robust, scalable, and high-performance real-time data backbone.
In this role you will lead the design, development, and implementation of a real-time data backbone. This position focuses on building and maintaining scalable, high-performance data pipelines that support real-time data processing and analytics. You will work closely with various teams to ensure the infrastructure meets the business's growing data needs while leveraging modern technologies for efficient data ingestion, storage, and analysis.
Key Responsibilities:
Design, develop, and maintain scalable real-time data pipelines and infrastructure.
Integrate various data sources and ensure seamless real-time data flow across the organisation.
Build efficient, fault-tolerant, and highly available data ingestion processes.
Monitor and improve data pipeline performance and scalability for low-latency and high-throughput.
Work closely with cross-functional teams, including software engineers, data scientists, and business stakeholders, to ensure data infrastructure aligns with business objectives.
About You:
Hands-on experience in data engineering with a proven track record of building and managing real-time data pipelines across multiple initiatives.
Expertise in developing data backbones using distributed streaming platforms (Kafka, Spark Streaming, Flink, etc.).
Experience working with cloud platforms such as AWS, GCP, or Azure for real-time data ingestion and storage.
Programming skills in Python, Java, Scala, or a similar language.
Proficiency in database technologies (SQL, NoSQL, time-series databases) and data modelling.
Strong understanding of data pipeline orchestration tools (e.g., Apache Airflow, Kubernetes).
You thrive when working as part of a team.
Comfortable in a fast-paced environment.
Have excellent written and verbal English skills.
Last but not least, you’ll have no ego!
What You’ll Get:
Competitive Basic Salary
Quarterly Bonuses
Hybrid working
Private Health Care (Bupa)
Market Leading Training Programme
Recognition & Reward Scheme
Annual Company Conference (previous destinations Bologna, Dubrovnik, Belgrade and Thessaloniki)
Regular Happy Hour / Team Lunches
Free Coffee, Drinks & Snacks
What’s the next step?
Our hiring process ensures we're recruiting the right people for the role. We ensure that people are as suitable for us as we are for them. If you like the sound of what we're all about at QiH and want to join a team where you can make an impact, please apply or contact us at .
Seniority level

Mid-Senior level
Employment type

Full-time
Job function

Information Technology
Industries

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