Team Lead, Data Engineering

Job not on LinkedIn

November 28

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HighlightTA

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HR Tech • Recruitment • SaaS

HighlightTA is your on-demand talent team that simplifies hiring by embedding talent partners directly into your organization. They offer solutions for project management, recruitment functions, and operational projects, tailoring their approach to fit the unique needs of each business. With a data-driven strategy, HighlightTA ensures quick access to top-tier talent while allowing flexibility in scaling team engagement.

2 - 10 employees

Founded 2024

👥 HR Tech

🎯 Recruiter

☁️ SaaS

📋 Description

• Design, build, and maintain scalable data pipelines and supporting infrastructure. • Assemble large and complex datasets that meet functional and technical business requirements. • Implement process and infrastructure improvements, including automation, optimization, and redesign for scalability. • Develop and maintain ETL/ELT processes using SQL, AWS, and big-data technologies. • Build data and analytics tools that support insight generation, business performance metrics, and product optimization. • Ensure data security, governance, and separation across systems, regions, and teams. • Lead a software development team, providing coaching, mentoring, performance management, and technical direction. • Guide teams in making and meeting delivery commitments while following established SDLC processes. • Identify and drive improvements in the software development lifecycle and engineering practices. • Ensure proper documentation, effective onboarding, and clear alignment with strategic priorities. • Foster a culture of creativity, innovation, and psychological safety within the team.

🎯 Requirements

• Bachelor’s Degree in Computer Engineering or related field, or equivalent experience • 5+ years of data engineering experience, including 3+ years at a senior data engineering level • Strong SQL skills and experience with relational and NoSQL databases (e.g., Postgres, Cassandra) • Experience with AWS services (EC2, EMR, RDS, Redshift) and big-data/stream-processing technologies • Hands-on experience building data pipelines, workflow management, and scalable data infrastructure • Strong analytical abilities, including root-cause analysis and working with unstructured datasets • Experience in leading teams, personal development planning, coaching, and performance management • Proven track record managing delivery of projects using Agile/Scrum methodologies • Experience with architecture, software design, requirements analysis, and process improvement • Excellent organizational skills, multitasking ability, and capability to work independently • Strong facilitation, communication, and influencing skills • Demonstrated problem-solving ability and desire to stay current with modern technologies • Understanding of the financial services industry and global capital markets (preferred)

🏖️ Benefits

• Peace of Mind & Family – Flexible benefit plans, wellness, lifestyle and parental leave top-up if you have a growing family • Wellness & Life – Flexible paid time off and benefit program, retirement plans, 30-day work-from-anywhere program, and a flexible work environment • Unlock Your Potential – Learning allowance, mentorship, leadership forums, and gig programs