Head of Data Engineering at GoGlobal

, , United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

25 Jan, 26

Salary

0.0

Posted On

27 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Infrastructure, ETL Pipelines, Data Governance, Cloud Platforms, Big Data, SQL, Python, Leadership, Stakeholder Management, Data Modeling, Data Security, Data Quality, Machine Learning, Collaboration, Continuous Improvement

Industry

Professional Services

Description

We are seeking an exceptional Head of Data Engineering to build and lead our data organization from the ground up. This is a unique opportunity for a visionary leader who has successfully built data infrastructure and teams from zero to production-scale operations. You will be responsible for architecting our entire data ecosystem, establishing best practices, and creating a world-class data engineering organization that enables data-driven decision-making across the company. Role & Responsibilities Strategic Leadership Build and scale the data engineering organization from inception to a fully operational, high-performing team Define and execute the data strategy aligned with business objectives and long-term growth Establish the technical vision and roadmap for data infrastructure, tools, and platforms Partner with executive leadership to identify data opportunities that drive business value Build strong relationships with stakeholders across Engineering, Product, Analytics, Data Science, and Business teams Data Infrastructure & Architecture Design and implement a scalable, reliable data lake architecture from scratch Build robust ETL/ELT pipelines for data ingestion, transformation, and distribution Establish data orchestration frameworks for workflow management and scheduling Architect solutions for real-time and batch data processing at scale Ensure high availability, performance, and cost optimization of data systems Data Governance & Compliance Implement comprehensive data governance frameworks and policies Establish data quality standards, monitoring, and validation processes Design and enforce data security, privacy, and compliance measures (GDPR, CCPA, etc.) Create data cataloging and metadata management solutions Build data lineage and audit trail capabilities Platform & Tools Evaluate, select, and implement modern data platforms (Snowflake, Databricks, Google BigQuery) Build self-service data capabilities for analytics and data science teams Establish CI/CD practices for data pipelines and infrastructure as code Implement monitoring, alerting, and observability for data systems Drive adoption of best-in-class data tools and technologies Team Building & Management Recruit, mentor, and develop a high-performing data engineering team Foster a culture of technical excellence, collaboration, and continuous improvement Establish career development frameworks and growth paths for team members Promote best practices in software engineering within the data context Build strong cross-functional relationships and promote data literacy Analytics & Data Science Enablement Partner with analytics teams to deliver reliable, accessible data products Enable data science initiatives through robust feature engineering and ML infrastructure Build data models and transformations that support business intelligence needs Ensure data democratization while maintaining governance and security Experience 8+ years of experience in data engineering, with at least 5 years in leadership roles Had leadership roles in 1000+ people companies Proven track record of building a data organization from zero to production scale Demonstrated experience establishing data lakes, ETL pipelines, and data infrastructure from scratch History of successfully managing complex data projects with multiple stakeholders Experience scaling data systems to handle significant data volume and user growth Technical Expertise Expert-level experience with at least one of: Snowflake, Databricks, or Google BigQuery (required) Strong software engineering fundamentals: data structures, algorithms, design patterns, testing Proficiency in modern programming languages (Python, Scala, Java, or Go) Deep understanding of distributed systems and big data technologies (Spark, Kafka, Airflow, Airbyte,dbt) Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure as code Strong SQL skills and deep understanding of database systems (relational and NoSQL) Experience with data modeling, dimensional modeling, and data warehousing concepts Data Governance & Compliance Hands-on experience implementing data governance frameworks Understanding of data privacy regulations (GDPR, CCPA, HIPAA, etc.) Experience with data security, access controls, and compliance auditing Knowledge of data quality frameworks and data observability tools Leadership & Communication Excellent stakeholder management skills across technical and non-technical audiences Proven ability to translate complex technical concepts into business value Strong written and verbal communication skills Experience building and mentoring high-performing engineering teams Track record of fostering inclusive, collaborative team cultures Preferred Qualifications Experience with real-time data streaming and event-driven architectures Knowledge of machine learning operations (MLOps) and feature stores Familiarity with data mesh or domain-driven data architecture patterns Experience with DataOps practices and automation Contributions to open-source data projects Advanced degree in Computer Science, Engineering, or related field Experience in [relevant industry: fintech, healthcare, e-commerce, etc.] Technical Skills Must Have: Modern Data Warehouses: Snowflake, Databricks, or Google BigQuery Programming: Python, SQL, and at least one other language (Scala, Java, Go) ETL/ELT Tools: dbt, Airflow, Fivetran, or similar Cloud Platforms: AWS, GCP, or Azure Big Data: Apache Spark, Kafka, or similar Version Control: Git and CI/CD practices Data Modeling: Star schema, Data Vault, dimensional modeling Nice to Have: Container orchestration: Kubernetes, Docker Infrastructure as Code: Terraform, CloudFormation Stream Processing: Kafka Streams, Flink, Spark Streaming Data Quality: Great Expectations, Monte Carlo, or similar BI Tools: Tableau, Looker, Power BI ML Platforms: SageMaker, Vertex AI, MLflow ABOUT US GoGlobal is the leading professional services company to guide, establish and manage global operations with compliance and confidence. We bring the human touch to entering new markets and consolidating vendors through a single point of management. With a presence in over 140 countries on six continents and growing, we make running a global business easy. Business & Corporate Services provided: Entity Solutions: Entity establishment, Corporate secretarial & directorship services, Domicile services, Dormancy/Liquidation HR Solutions: Global recruitment, Employer of Record (EOR), Agent of Record (AOR), Global benefits, Global payroll, International HR Consulting Finance Solutions: Accounting & Tax For more information, please visit GoGlobal.com OVERVIEW We Measure Success by Results, Not Hours Worked No timesheets. At GoGlobal, we give you the autonomy to make decisions that create real impact. We prioritize results over hours worked, focusing on quality of outcomes rather than tracking time. As a privately owned company, we are free from the pressures of venture capital or private equity investors demanding exponential growth in unreasonable time frames. Sometimes, things just take time to do well. In our business, delivering great results is a process - and we're committed to doing it right. We are not for sale. We believe that financial success is a natural outcome of our work, not the primary goal. Unlike many investors who view money as a goal, our focus is on long-term growth and sustainable success. We are a global team, built for those who want to go further. Here's what your career at GoGlobal looks like: A company small enough for your voice to be heard meaningfully, yet large enough to make a global impact Collaborating with a diverse, global and supportive team Built for the long-haul - no VC or PE pressure, just a focus on sustainable growth WHY WE ARE DIFFERENT We Make Growing Your Career Possible We operate with the benefits of a partnership without the complexities of a partnership. Our hybrid partnership-corporate model offers all employees the opportunity to become a partner, while maintaining a streamlined corporate structure so that decisions are made quickly We do not offer equity plans. As we are not for sale and are not chasing an exit, "stock options" hold little value in our business model. Instead, we provide opportunities for outstanding employees to make partner and share in the profits. We believe it's better to build lasting value than to chase a one-time payout We prioritize organic and sustainable growth. Expanding operations quickly by way of mergers and acquisitions might seem appealing, but the reality is integrating diverse cultures can be challenging. We're proud of our own culture and prefer to grow it our way We're global. We offer career opportunities across the world-whether it's new job roles or international locations English is our official language, but for many, it's our second language. We embrace this and find it rewarding communicating with colleagues from all over the world We are not a family. We operate more like a high-performing sports team where each individual's contribution is crucial to our collective success We keep things simple and collaborative. Our structure makes it easy for teams to work together across borders so we can serve our clients with global needs more effectively. Unlike big, siloed companies, we work seamlessly to handle international deals without the headaches of territorial ownership We believe in transparency and trust. Every month, we share our financials with the team so everyone knows where we stand and what's coming next. It's all about open communication, building trust and empowering every individual to be part of our journey. We don't tell you what to think - we provide the information you need to make your own informed decisions We believe flexibility drives success. Our company is built on trust, and that's why we embrace fully remote work, and hybrid options in some countries. Forget rigid office routines - it's old school! This flexibility fuels productivity, strengthens our workforce, and ensures we remain agile in a fast-changing world. Ready to take the next step in your career with us? Apply now! **Kindly review the provided privacy notice (LINK) to gain a comprehensive understanding of our policies and practices governing the treatment of your Personal Data.

Responsibilities

The Head of Data Engineering will build and scale the data engineering organization, defining and executing the data strategy aligned with business objectives. This role involves architecting the data ecosystem and establishing best practices for data-driven decision-making across the company.