Senior Data Engineer

Technopride Ltd; Remote; GBP 60,000 - 80,000; Full time

Job summary

A prominent IT solutions provider is seeking a remote Sr. Data Engineer. This role involves designing and developing data ingestion solutions, contributing to data product expansion, and collaborating with diverse stakeholders. The successful applicant will focus on building reliable data pipelines and enhancing data delivery processes. Strong experience in data processing and collaboration skills are essential. The position is open to both permanent and contract arrangements with a competitive salary based on market rates.

Qualifications

• Strong experience in designing and developing data ingestion and processing solutions.
• Proven ability to write clean, modular, and maintainable code.
• Experience working with distributed systems and modern data platforms.

Responsibilities

• Collaborate with stakeholders to identify opportunities for improvement of data assets.
• Participate in design and development sessions for data pipelines.
• Design, develop, test, and maintain data ingestion pipelines.
• Build resilient and fault-tolerant code for data services.
• Research and implement new tools for high-quality data products.
• Collaborate to ensure seamless transitions in data processes.
• Contribute to documentation and knowledge sharing for sustainability.

Skills

Designing and developing data ingestion and processing solutions

Writing clean, modular, and maintainable code

Working with distributed systems and modern data platforms

Strong collaboration skills

Analytical mindset

Comfortable in agile environments

Job description

We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market.

Job Description

This is a remote position.

Hi, We are looking for Sr.Data Engineer for one of our renowned IT client based in Poland. If interested, please share your updated CV to discuss further on the role. Remote working.

Roles: Sr. Data Engineer Location: Poland, Remote Is it Permanent/ Contract: open for both Salary Budget: best reasonable market rate Is it Onsite/Remote/Hybrid: Remote No. of Positions: 2 Role Overview

Reporting to a Technical Lead, this role plays a critical part in supporting the Data Ingestion team and both Business and Technical Product Owners. The successful candidate will contribute to the expansion and adoption of data products across multiple service lines, products, functions, and delivery teams.

The role spans a wide range of responsibilities, including the technical design and development of near real-time data processing solutions, building and maintaining data ingestion pipelines, enabling consumer interactions, and supporting business documentation and reporting.

Key Responsibilities

• Collaborate with stakeholders to identify and ideate opportunities for continuous improvement of data assets and the services provided to data consumers.
• Participate in design and development sessions to enhance data asset creation and ingestion pipelines, with a strong focus on stability, performance optimization, and traceability.
• Design, develop, test, and maintain data ingestion pipelines and supporting processes.
• Build resilient, fault-tolerant, and modular code to ensure data pipelines and services are robust, scalable, and highly available.
• Research, evaluate, and implement new tools, methods, and processes to enable the creation of high-quality, enterprise-grade data products and services.
• Actively collaborate across teams to ensure seamless transitions between data ingestion, consumption, and activation stages.
• Contribute to documentation, reporting, and knowledge sharing to support long-term platform sustainability.

Required Skills & Experience

• Strong experience in designing and developing data ingestion and processing solutions, including near real-time data pipelines.
• Proven ability to write clean, modular, and maintainable code with a focus on reliability and performance.
• Experience working with distributed systems, data pipelines, and modern data platforms.
• Strong collaboration skills with the ability to work effectively across technical and non-technical teams.
• Analytical mindset with a passion for continuous improvement and problem-solving.
• Comfortable working in agile or product-oriented delivery environments.