Senior Data Engineering Manager - Remote at Jobgether

Great Sankey, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

03 Jul, 26

Salary

0.0

Posted On

05 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data engineering, Team management, Data strategy, Data modeling, Data pipelines, SQL, Python, Informatica, DBT, Lakehouse technologies, Warehouse technologies, Automation, GenAI, LLMs, Data architecture, Mentoring

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Manager Data Engineering - REMOTE. In this role, you will play a crucial part in shaping our data strategy and ensuring the reliability of our data models and pipelines. Your deep technical expertise combined with strong leadership skills will allow you to mentor teams, implement the latest data technologies, and drive operational excellence. You will be at the forefront of enhancing our data architecture, working closely with various departments to align data practices with business needs. The ideal candidate will not only manage teams but will also engage in hands-on technical work, ensuring the ongoing development of scalable data solutions. \n Accountabilities Manage and guide data teams to execute on enterprise data strategy. Provide technical guidance and mentor team members on data technologies. Design end-to-end data processing for enterprise data warehousing. Build scalable data pipelines for data loading. Automate data operations for efficiency. Ensure high reliability and performance of data pipelines. Collaborate with engineering teams to optimize data solutions. Requirements BS in Computer Science or equivalent; MS preferred. 5-10 years of experience in people management, particularly in data and analytics. Proven experience in redesigning data pipelines and enterprise data models. Mastery of modern data modeling patterns. Strong expertise in SQL, Python, and tools like Informatica and DBT. Experience with Lakehouse/Warehouse technologies. Commitment to automation and engineering best practices. Experience leveraging GenAI/LLMs to solve complex problems. Benefits Competitive compensation. Flexibility to work from anywhere in the United States. Paid time off including vacation, sick leave, and holidays. Incentive bonus programs. Comprehensive health benefits including medical, dental, and vision. 401(k) retirement plan with company match. Opportunities for professional development and education assistance. Engaging and collaborative work environment. Recognition programs for employee achievements. Health and wellbeing resources. \n Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Responsibilities

Manage and guide data teams to execute enterprise data strategy while designing end-to-end data processing and scalable pipelines. Collaborate with engineering departments to optimize data solutions and ensure high performance and reliability of data architecture.