Data Engineer focused on analytics and data pipeline development for network optimisation. Collaborating with teams to deliver high - quality data solutions with Python and SQL.
About the role
- Director of Data Engineering leading design and delivery of cloud-based data platforms at Ankura. Significant experience in data engineering and strong team leadership required.
Responsibilities
- Define and own the architecture of cloud-based data platforms across client engagements.
- Lead large-scale ETL and data platform implementations using tools such as Databricks, Snowflake, and equivalent technologies.
- Establish reference architectures, delivery standards, and engineering best practices.
- Oversee ETL orchestration strategies using tools such as Data Factory, Airflow, or enterprise ETL platforms.
- Estimate, plan, and govern delivery across multiple projects and workstreams.
- Partner with client stakeholders to align data platform design with business objectives.
- Mentor, coach, and develop data engineers and technical leads.
- Ensure platforms meet expectations for scalability, reliability, security, and cost efficiency.
- Support pre-sales activities, including solution design and technical estimates.
Requirements
- 8+ years of experience in data engineering, with significant leadership responsibility.
- Proven experience designing and delivering enterprise-grade cloud data platforms.
- Deep expertise with ETL / orchestration tools (e.g., Data Factory, Airflow, Informatica, or similar).
- Strong experience with analytics and processing platforms such as Databricks, Snowflake, or equivalents.
- Demonstrated ability to estimate, plan, and govern complex delivery programs.
- Strong understanding of data architecture, governance, and security principles.
- Excellent communication skills and experience in senior, client-facing roles.
- Strong business acumen and results-oriented mindset.
- Preferred to have experience leading multi-team or multi-vendor delivery models.
- Preferred to have exposure to advanced analytics, machine learning pipelines, or real-time processing.
- Cloud or platform certifications (any major provider) is preferred
Benefits
- Equal Employment Opportunity Employer
- Affirmative Action Employer
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Product Manager defining platform capabilities for Data Cloud in Salesforce. Collaborating with R&D teams while shaping product strategy for Data 360 integration.
Senior Data Engineer at Goodwin enhancing data platforms and fostering data - driven culture across teams. Collaborating with IT and Finance on technology solutions and data governance practices.
Director, Data Platform Design and Strategy at MedImpact leading data platform and AI innovations to enhance healthcare services. Overseeing enterprise projects and managing teams to meet strategic goals.
Data Engineer delivering AI - and data - driven solutions for Honeywell’s industrial customers. Architecting and implementing scalable data pipelines and platforms focused on IoT and real - time data processing.
Data Engineering Associate focusing on data quality control and management for distribution platform. Collaborates on large scale data projects to ensure data accuracy and availability for users.
Data Architect managing enterprise data platform built on Microsoft Fabric at Johnstone Supply. Leading architectural standards and collaborating with business and IT leaders for strategic data - driven insights.
Data Engineer at Studyportals responsible for data pipelines and infrastructure. Join a team ensuring accurate and trustworthy data for analytics and business decisions.
AI/ML Engineer designing and refining prompts and workflows using large language models. Responsible for developing data pipelines and delivering scalable AI solutions in a hybrid work environment.
AWS Data Architect at Fractal designing and operationalizing AWS data solutions at enterprise scale. Collaborating with clients and mentoring engineers in best practices.