Merapar
Client-Facing Data Engineer
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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
We encourage difference
We deliver quality
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
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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
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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
How To Apply
Please submit your CV, a brief cover letter highlighting relevant experience with data lakehouses and client-facing work, and any portfolio examples or GitHub links demonstrating your expertise in data engineering.
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.
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