Senior Data Engineer

About this role

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Skills you'll use

What you'll do

• You’ll play a critical role in delivering the Group Data Strategy and Data Transformation journey by leading the delivery, enhancement, and ongoing maintenance of the IQEQ Data Platform to maximise business value and growth.
• You’ll operate as a deeply technical, hands-on Engineering Manager, directly building, expanding, optimising, and troubleshooting complex, production‑ready data pipeline architectures.
• You’ll apply extensive, current data engineering expertise to construct, refine, and manage large-scale data infrastructures, demonstrating a proven ability to work directly with complex data assets.
• You’ll actively support software developers, database architects, data analysts, and data scientists by implementing data initiatives end-to-end, ensuring consistent and optimal data delivery across projects.
• You’ll work autonomously across multiple teams, systems, and products, ensuring scalable, reliable data architectures while confidently balancing hands-on delivery with cross‑team technical leadership.
• What we offer 
• Comprehensive remuneration: Competitive financial packages based upon market rates for your role, proportionate to your qualifications, level of experiences and skills profile 
• Pension Scheme: Generous employer contribution with the ability to increase employee contributions 
• Wellbeing: Additional social benefits such as medical insurance & life assurance, discounted gym memberships and the opportunity to engage with our local community via sports activities, charity programmes & environmental initiatives 
• Flexible working: We recognise the value of working flexibly and enable our employees to enjoy an excellent work-life blend 

Who can apply

• Flexible working: We recognise the value of working flexibly and enable our employees to enjoy an excellent work-life blend 
• Support and development: We will ensure you have the right training, tools and development plan to grow and improve your skills every day.
• You hold a Bachelor’s degree in Computer Science or a related field, with 7–10 years of software engineering experience, including strong hands‑on expertise in data engineering and analytics within complex environments (financial services preferred).
• You bring deep technical capability across Linux and Bash, programming languages such as Python, Go, Scala, C++, or Kotlin, advanced Python libraries (Pandas, NumPy, PySpark, Dask), and a strong foundation in algorithms and data structures.
• You have proven experience with databases (PostgreSQL/MySQL, Microsoft SQL Server), cloud platforms (AWS, Azure, or GCP), data lakes and warehouses (Snowflake, Databricks, Redshift), stream processing (Kafka, Kinesis), and the implementation of data warehousing and API solutions.
• You communicate effectively by adapting your style to diverse audiences, act decisively with an action‑oriented mindset, collaborate smoothly across cultures and geographies, and demonstrate strong analytical, problem‑solving, and diagnostic skills with keen attention to detail.
• You operate confidently in fast‑paced global organisations, lead and mentor teams, work with integrity and drive, possess strong stakeholder communication skills, and bring exposure to ISO 27001 information security compliance; fluency in English is required, with additional European languages considered an asset.

Perks & benefits

About IQ-EQ

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