Data Engineer

About Parenting for Lifelong Health: Parenting for Lifelong Health (PLH) aims to empower parents to improve child development, reduce family violence, and promote mental health. We give parents the support they need, the skills that work, and trusted advice they can count on to protect and support their children’s health, safety and development. Our parenting courses are developed with families, powered by low-cost and accessible technology, backed by rigorous evidence, and delivered within systems. Originally founded as an initiative in 2012 in collaboration with UNICEF and the WHO, Parenting for Lifelong Health was established as a UK charity in 2022 and since then has reached over 8 million families in more than 35 countries.

PLH Values: PLHers are diverse, but share a common set of values that inform the way we work:

• Courage We have the courage to design for the big picture and complex problems with a commitment to creating sustainable solutions that last.
• Evidence We believe our work transforms the lives of children, families, and communities. Evidence of impact guides every decision, and we are relentless in pursuing the greatest impact with the least investment of time and resources required for parents and providers.
• Playfulness Parenting and child wellbeing thrives on play — and so do we. We experiment, learn from each other, as well as from parents and children, and create playful and engaging products and programmes that inspire joy, curiosity, and connection.
• Respect Everyone brings something essential. We show kindness in our team, honesty with our partners, and deep respect and empathy for parents and children, and those who are on the frontline of providing services for them.

PLH has a strong commitment to diversity, inclusion, and equity in how we work, who we work with, and what we do. Candidates from minority and disadvantaged backgrounds are strongly encouraged to apply. PLH also has a strong commitment to the Prevention of Sexual Exploitation and Abuse (PSEA). All candidates considered for the role will be subject to background and reference checks in their country of residence.

Benefits: Flexible remote-working, home office set-up, unlimited annual leave, professional development opportunities, enhanced pension contributions, enhanced statutory leave provisions including maternity and paternity leave.

About the role: The Data Engineer will be responsible for building, maintaining, and optimising PLH’s data pipelines, data models, and analytics infrastructure to support programme delivery, monitoring, research, and decision-making. Working closely with the Senior Engineer, product managers, researchers, and country implementation teams, the role will ensure that data is reliable, scalable, well-governed, and usable across contexts. This role is ideal for someone who enjoys translating complex, messy, real-world data into robust systems that support evidence-driven programmes at scale, evidence-informed product design, close collaboration with research teams, and who is motivated by social impact rather than purely commercial outcomes. The Data Engineer will report to the Senior Engineer for Solutions.

Responsibilities:

• Data Pipeline Development & Maintenance Design, build, and maintain scalable data pipelines for ingesting data from digital platforms (e.g. chatbots, mobile apps, surveys, facilitator tools)
• Manage Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) workflows to support analytics, dashboards, and research use cases
• Monitor and optimise pipeline performance, reliability, and cost efficiency
• Data Modelling & Storage Design and maintain clean, well-documented data models for operational and analytical use
• Support the evolution of PLH’s data warehouse and related storage systems
• Implement versioning and change management for datasets used across multiple deployments and countries
• Analytics & Dashboard Own the development and ongoing maintenance of dashboards and reporting tools used by programme teams, leadership, and partners
• Ensure data powering dashboards is accurate, timely, and aligned with indicator definitions
• Collaborate with researchers, technology partner, and the Scaling and Innovation team to prepare datasets for analysis and evaluation
• Data Quality & Validation Implement data quality checks, validation rules, and monitoring processes
• Investigate and resolve data inconsistencies, missing data, and pipeline failures
• Contribute to the definition and documentation of core indicators and metrics
• Data Protection & Governance Support implementation of privacy-by-design principles across data systems
• Ensure data handling practices align with GDPR and other relevant data protection regulations
• Assist with documentation and processes related to data sharing agreements, access controls, and auditability
• Documentation & Knowledge Sharing Maintain clear technical documentation for data pipelines, schemas, and workflows
• Provide training to national partners on data pipeline management.
• Contribute reusable technical guidance, examples, or design patterns to support PLH teams and partners
• Support onboarding of new technical team members where relevant
• Cross-team Collaboration Work closely with product, engineering, research, and country teams to understand data needs and constraints
• Communicate technical concepts clearly to non-technical stakeholders
• Support troubleshooting during country launches and major system changes

Essential criteria Bachelor’s degree plus significant professional experience, or Master’s degree, in data engineering, computer science, statistics, information systems, or a related field 3+ years of experience in data engineering or analytics engineering roles Strong experience with SQL and relational databases, including designing and querying analytical data models (e.g. PostgreSQL or similar systems) Experience building, orchestrating, and maintaining data pipelines using Python or similar languages, including workflow orchestration tools (e.g. Apache Airflow or equivalent) Familiarity with analytical data stores and data warehousing technologies, including columnar databases used for analytics (e.g. ClickHouse or similar) Experience working with cloud-based or containerised systems Strong attention to data quality, documentation, and reproducibility Commitment to PLH’s mission, values, and organisational culture English, written and spoken, with high proficiency Ability to work independently in a remote, multi-country team environment Comfortable using standard collaboration and project tools (e.g. Google Drive, GitHub, issue trackers)

Preferred criteria Experience working with data from digital health, education, or social impact programmes Familiarity with dashboarding tools such as Apache Superset, Looker, or similar Experience supporting research or evaluation datasets Understanding of GDPR and ethical data use in international contexts Experience working with early-stage or scaling organisations Familiarity with emerging uses of AI or LLMs to support data workflows, analysis, or data quality Proficiency in at least one language other than English

To apply: Applications must be sent to recruitment@parentingforlifelonghealth.org by 12pm GMT on 1 March 2026. Please submit a CV and a supporting statement explaining how you meet the above criteria. Only complete applications will be considered. For more information, please contact Laurie Markle, laurie@parentingforlifelonghealth.org.