Data Engineer - Manchester

Data Engineer - Manchester

As a Data Engineer, You'll join the Trips Business Unit, working alongside curious, energetic, and focused professionals. You will play a key role in delivering our vision to build a fully integrated, scalable, high-performance, and compliant data platform and pipelines.

Your responsibility includes roadmapping and implementing replacements for existing ad-hoc data solutions, establishing a strong foundation using modern technologies and best practices. This will enable the production of large volumes of high-quality data for seamless consumption and analysis.

As a Senior Data Engineer, you will:

Coach and mentor junior engineers, fostering a culture of learning and growth.

Act as a thought leader within the team, ensuring best practices are implemented effectively.

Responsibilities

Data Engineering

• Work with business users to model and implement scalable, secure, and well-governed data pipelines using standardized tools and procedures.

• Diagnose and solve data pipeline issues, perform root cause analysis, and implement enhancements to prevent recurrence.

• Ensure end-to-end data quality in core datasets and pipelines, engaging with teams to resolve data quality issues.

• Maintain data accessibility, integrity, and governance while supporting rapid product development.

• Advocate for data security, governance, and best practices across teams.

• Contribute to best practices, architectural principles, and quality standards for data engineering.

• Experiment with new technologies to drive engineering excellence.

• Design, build, test, and support high-quality code following best practices and testing techniques.

• Participate in recruitment efforts, including interviewing and onboarding.

End-to-End System Ownership

• Collaborate with teams to ensure proper data cataloging, governance, life cycle management, and quality standards.

• Support data analysts by assisting with complex data mining, analysis, and profiling.

• Reduce business risks by leveraging modern tools, writing documentation, and maintaining runbooks and operational guides.

Architectural Guidance

• Provide technical guidance to teams to ensure solutions align with functional, non-functional, and architectural requirements.

• Challenge and refine application designs within the broader architectural landscape.

Critical Thinking

• Identify patterns and underlying issues in complex situations by applying logical and analytical thinking to find effective solutions.

Coaching & Mentorship

• Guide and support colleagues at all levels by sharing experience, knowledge, and best practices to enhance team performance.

Process & Quality Improvement

• Identify opportunities for process, system, and performance improvements by evaluating current workflows.

• Design and implement improvements through new standards, workflows, and practices to enhance business performance.

Effective Communication

• Deliver clear, well-structured, and meaningful information to target audiences using appropriate communication styles.

• Adapt messaging to achieve mutually agreeable solutions and foster collaboration.

• Utilize active listening techniques to fully understand and engage with discussions.

Skills & Qualifications

• 5+ years experience building big data pipelines in distributed environments using Kafka, Hadoop, Spark, Python, and DBT.

• Strong data modelling skills (Dimensional, Data Vault).

• Passion for Continuous Integration, Continuous Delivery, and Agile methodologies.

• Solid understanding of security principles and secure coding practices.

• Experience working on large-scale, well-governed, and compliant systems.

• Proven ability to lead, guide, and mentor team members technically and procedurally.

• Familiarity with basic analytics and machine learning concepts.

• Excellent written and verbal communication skills.

• Understanding of cloud security best practices.

• Hands-on experience with cloud platforms (AWS preferred).

• Educational background: Relevant degree or equivalent experience.

Please send your CV or call Toni to discuss further.
We are an equal opportunities employment agency and welcome applications from all suitably qualified persons regardless of race, sex, disability, religion/belief, sexual orientation, or age.

We champion differences in technology recruitment and work with clients who actively wish to diversify their talent force - ALL applicants are welcome to apply.