Client-Facing Data Engineer

Merapar; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Cutting-edge tech

Growth opportunities

Professional development

Collaborative team

Job summary

Merapar is seeking experienced Data Engineers to design, implement, and maintain sophisticated data lakehouses while communicating complex concepts to stakeholders. You’ll work on AWS-based architectures, ensuring data quality, security, and regulatory compliance.

As a trusted advisor, you will manage relationships with clients and internal teams, delivering architecture decisions and timelines in plain language. Strong English communication and UK work eligibility are required.

Qualifications

• Proven experience designing and implementing data lakehouse architectures.

Responsibilities

• Designing and architecturing data lakehouse solutions using AWS cloud services (S3, Glue, Athena, Redshift, Lake Formation)
• Implementing robust data governance frameworks with particular attention to PII protection and regulatory compliance
• Managing data residency and territorial integrity requirements, ensuring data remains compliant with regional regulations (GDPR, local data protection laws)
• Serving as a trusted technical advisor to clients, explaining data architecture decisions, security measures, and implementation timelines in clear, non-technical language
• Managing client stakeholder relationships, from C-suite executives to technical teams, whilst maintaining project schedules and expectations
• Building and maintaining data pipelines with strong emphasis on data quality, security, and compliance standards
• Collaborating with cross-functional teams including data analysts, security officers, and legal advisors to ensure holistic solutions

Skills

Data lakehouse design

AWS cloud

PII data management

ML feature stores

AI/ML on AWS

Data residency & compliance

Consultative communication

Client-facing

Python/SQL/Scala

Data security & privacy

Curiosity

English proficiency

UK work eligibility

Tools

Databricks

Delta Lake

Apache Flink

Python

SQL

Scala

Job description

Welcome! Merapar is proud to develop cutting edge technology for the brands you know best, transforming the media and technology landscape. Are you ready to be a part of this?

At Merapar, we look for people who like to work hard and play hard, and who will show up as their true self because we value diversity and inclusion. To be a Meraparian, you need to be aligned with our values and culture. If you think you're a fit, and you are looking for a career that offers growth, rewards, and lots of fun... check out the job description below!

• We are customer-focused
• We work as a team
• We improve, learn and share

About the Role

We are seeking experienced Data Engineers who can combine strong technical expertise with exceptional client-facing skills. You will design, implement, and maintain sophisticated data lakehouses whilst effectively communicating complex technical concepts to stakeholders. This role demands both engineering excellence and outstanding interpersonal abilities.

The responsibilities we’ll trust you with

• Designing and architecturing data lakehouse solutions using AWS cloud services (S3, Glue, Athena, Redshift, Lake Formation)
• Implementing robust data governance frameworks with particular attention to PII (Personally Identifiable Information) protection and regulatory compliance
• Managing data residency and territorial integrity requirements, ensuring data remains compliant with regional regulations (GDPR, local data protection laws)
• Serving as a trusted technical advisor to clients, explaining data architecture decisions, security measures, and implementation timelines in clear, non-technical language
• Managing client stakeholder relationships, from C-suite executives to technical teams, whilst maintaining project schedules and expectations
• Building and maintaining data pipelines with strong emphasis on data quality, security, and compliance standards
• Collaborating with cross-functional teams including data analysts, security officers, and legal advisors to ensure holistic solutions

Your areas of knowledge and expertise

• Proven experience designing and implementing data lakehouse architectures (Databricks, Delta Lake, Apache Flink, or similar technologies)
• Strong, hands-on AWS cloud experience including services such as S3, Glue, Lake Formation, Athena, and Redshift
• Demonstrated expertise in PII data management, including encryption, masking, and access control mechanisms
• Experience building and maintaining ML feature stores or production ML pipelines
• Familiarity with AI/ML model deployment on AWS
• Knowledge of territorial data residency requirements and compliance frameworks (GDPR, local data localization laws)
• Excellent communication skills with the ability to translate technical concepts for non-technical audiences
• Experience working directly with clients or internal stakeholders in a consultative capacity
• Proficiency in Python, SQL, Scala or similar for data engineering tasks
• Strong understanding of data security, privacy regulations, and their practical implementation
• Open mind and a natural curiosity for new technologies
• Excellent knowledge of English with first-rate verbal and written communication skills
• Eligibility to work in the UK without requiring sponsorship

Desirable Qualifications

• AWS Certifications (Solutions Architect Associate or Professional, Data Analytics Specialty, AI or related credentials)
• Experience with data governance tools and metadata management platforms
• Experience delivering data solutions to enterprise clients
• Experience in the Telco & Media industry
• Experience building and Experience with generative AI tools and LLM applications in data contexts
• Understanding of responsible AI principles and ethical AI governance

What We Offer

• Competitive salary commensurate with experience and location
• Opportunities to work on cutting-edge data platforms and architectures
• Direct influence on strategic projects with significant impact
• Continuous learning and professional development in cloud technologies
• Collaborative team environment with experienced data professionals

We are an inclusive employer

We are an inclusive employer and are constantly working to increase diversity. We strongly encourage applications from under-represented groups, including women and ethnic minorities, and are happy to make special accommodations for disability and neurodiversity in our interview process.