Data Engineering Manager

TalentHawk; Portsmouth; On-site; GBP 60,000 - 70,000; Full time

Job summary

A leading company in the data infrastructure and analytics sector is seeking a Data Engineering Manager in Portsmouth. The role involves leveraging AWS expertise, team leadership, and operational management to drive data platform success. This position offers a unique opportunity to shape strategic visions, ensuring data practices align with organizational goals.

Qualifications

• Proven experience in leading data engineering teams.
• Strong technical fluency in AWS services.
• Excellent communication and stakeholder management skills.

Responsibilities

• Foster a high-performing data engineering team through coaching and mentoring.
• Optimize data platforms and enhance efficiency.
• Manage delivery timelines and performance metrics.

Skills

AWS Expertise

Python

SQL

pySpark

Problem-solving

Education

Experience in a technical leadership role within data engineering

Tools

CI/CD pipelines

DataOps methodologies

Job description

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This range is provided by TalentHawk. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

We are seeking a Data Engineering Manager with a strong technical foundation, proven experience leading data engineering teams, and expertise in AWS platforms. This role demands a combination of operational management and strategic vision to drive the success of our data platforms and align with organizational goals.

Responsibilities

1. People Management

• Team Building & Coaching:
• Foster a high-performing data engineering team through coaching, mentoring, and professional growth opportunities.
• Develop a leadership culture within the team, ensuring engagement and motivation.
• Stakeholder Engagement:
• Act as a visible advocate for data practices across teams.
• Confidently represent the data team and step in for senior leadership as needed.

2. Technical Leadership

• AWS Expertise:
• Hands-on experience with AWS services, scalable data solutions, and pipeline design.
• Strong coding skills in Python, SQL, and pySpark.
• Optimize data platforms and enhance operational efficiency through innovative solutions.
• Nice to Have:
• Background in software delivery, with a solid grasp of CI/CD pipelines and DataOps methodologies.
• Exposure to ML/AI implementations.

3. Process & Delivery Management

• Operational Excellence:
• Manage delivery timelines, performance metrics, and team operations effectively.
• Support technology upgrades, evaluate new tools, and adopt emerging trends.
• Strategic Vision:
• Shape the data engineering roadmap and transform vision into actionable outcomes.
• Collaborate across teams to ensure the data work delivers tangible business value.
• Attributes:
• Trustworthy, collaborative, and detail-oriented.
• Strong decision-making skills and a people-first approach.
• Positive mindset with a commitment to continuous learning.

Key Qualifications

• Proven experience in a technical leadership role within data engineering.
• Strong technical fluency and a problem-solving mindset.
• In-depth knowledge of AWS services and their practical implementation.
• Excellent communication and stakeholder management skills.
• Experience with performance metrics, delivery management, and team operations.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Data Infrastructure and Analytics and IT Services and IT Consulting

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