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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and delivering scalable data pipelines and solutions on cloud platforms, with a strong focus on data quality, performance optimization, and engineering best practices. Proven leadership in mentoring teams and driving automation and innovation within data engineering.
Highest-signal resume keywords
Senior Data Engineering ExperienceSnowflake ExpertiseModern Data Engineering Tools (dbt, Dagster, Airbyte)ELT/ETL and SQL ProficiencyData Quality and Performance Optimization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentData ModellingSQLELT/ETLData Quality ImplementationPerformance OptimizationPipeline OrchestrationAutomation PracticesAI-Enabled EngineeringData Transformation
Soft Skills
Problem-SolvingCommunicationStakeholder ManagementCollaborationMentoring
Tools & Technologies
SnowflakeDbtDagsterAirbyteSAP S/4HANA
Industry Keywords
Data EngineeringEnterprise Data PlatformData SolutionsCloud Data PlatformsData Ecosystem
Tech Stack
Tools & technologiesCloudETLSnowflakeSQL
About the role
Key responsibilities & impact- Lead the design, development, and delivery of scalable data pipelines and products on the Enterprise Data Platform
- Define and champion engineering standards, best practices, and modern data engineering methodologies
- Collaborate with architects, analysts, and business stakeholders to deliver high-quality data solutions
- Ensure data platforms and pipelines are reliable, secure, performant, and cost-effective
- Provide hands-on technical leadership through solution design, coding, and peer reviews
- Act as the senior escalation point for complex data engineering and platform challenges
- Lead, mentor, and develop a team of Data Engineers
- Drive automation, AI-enabled engineering practices, and operational efficiencies across the data ecosystem
- Support the transition of innovative data use cases into scalable, production-ready solutions
- Contribute to major data platform transformation and migration initiatives across the organisation
Requirements
What you’ll need- Experience in a Senior or Lead Data Engineering role, delivering scalable data solutions in production environments
- Strong expertise in Snowflake or a similar cloud data platform
- Hands-on experience with modern data engineering tools such as dbt, Dagster, Airbyte, or equivalent
- Solid understanding of ELT/ETL, data modelling, SQL, and pipeline orchestration
- Experience implementing data quality, testing, monitoring, and performance optimisation practices
- Proven ability to lead, mentor, and support Data Engineers while providing hands-on technical leadership
- Strong problem-solving, communication, and stakeholder management skills
- A collaborative, delivery-focused mindset with a passion for high-quality data solutions
- Experience with SAP S/4HANA, AI-enabled engineering, or global enterprise-scale data environments would be advantageous
Benefits
Comp & perks- Pension scheme
- Annual bonus
- Private medical care (Allianz)
- Subsidy for Multisport card
- Holiday allowance
- Lunch card
- Subsidy for learning English language
- Employee referral scheme
- Global recognition programme
- Market competitive base salaries
- Opportunity to participate in a short-term incentive