DATA Engineering Manager

Hexaware Technologies UK Ltd
Deans Yd
2 weeks ago
Create job alert

Who we are?

At Hexaware Technologies, we are a leading global IT Services company, dedicated to driving digital transformation and innovation for businesses around the world. Founded in 1990, Hexaware has grown into a global trusted partner for enterprises, offering comprehensive AI empowered services including IT Consulting, Application Development, Infrastructure and Cloud Management and Business Process services.

Read the overview of this opportunity to understand what skills, including and relevant soft skills and software package proficiencies, are required.At Hexaware we are a community of creative, diverse, and open-minded Hexawarians creating smiles through the power of great people and technology.We pride ourselves on our people-centric culture and commitment to sustainability. Our diverse team of over 30,000 professionals across 30 countries is driven by a shared passion for innovation and excellence. We foster a collaborative environment where creativity and continuous learning are encouraged, enabling our employees to thrive and grow.Just so you know...You do not need to be perfect or have perfect qualifications to apply for this job nobody is!We believe that you do not need to match every requirement for the job position to make a valuable contribution to our team. We want to hear from you if you have the passion and potential to drive our mission forward! At Hexaware, we are committed to building and fostering a team with diverse backgrounds, experiences and skills. We value diversity and inclusion and strive to create a workplace where everyone feels welcome and supported. If you require any reasonable adjustments during the application process, please let us know.What would you do?

Job Summary:An experienced Data Engineering Lead to deliver a Snowflake migration program, leveraging strong knowledge in Snowflake, Fivetran, DBT, and orchestration tools. As a POD Lead, you will define development and coding standards, set frameworks, define standards, and remove external impediments. You will collaborate with various stakeholders to unblock project blockers and drive the successful migration to Snowflake.Key Responsibilities:Technical Leadership1. Lead the design and implementation of the Snowflake migration program, ensuring successful data migration, integration, and optimization.2. Define and implement development and coding standards for data engineering, leveraging Snowflake, Fivetran, DBT, Python, and orchestration tools.3. Strong knowledge in ADO and CI/CD standards/pipelines4. Set technical frameworks and guidelines for data engineering projects, ensuring alignment with overall technical vision.5. Collaborate with architects to ensure alignment with overall technical vision.Snowflake Migration Program1. Develop and execute a comprehensive migration plan, including data ingestion, processing, and storage.2. Design and implement data pipelines using Fivetran, DBT, and Snowflake.3. Ensure data quality, integrity, and security throughout the migration process.4. Ensure Chaucer data governance policies and procedures are adhered to as well as regulatory rulesPOD Leadership1. Lead a team of data engineers, providing technical guidance and mentorship.2. Remove external impediments, ensuring the team can deliver high-quality results.3. Collaborate with product owners, designers, and other stakeholders to define project requirements.4. Prioritize and manage the team's workload, ensuring efficient delivery of projects.Collaboration and Communication1. Collaborate with cross-functional teams, including data science, product, and business stakeholders.2. Communicate technical plans, progress, and issues to stakeholders.3. Foster a culture of innovation, experimentation, and continuous learning.4. Identify and mitigate project blockers, collaborating with stakeholders to resolve issues.5. Agree and report KPIs on engineering delivery to the leadership team via defined weekly/monthly updates. Take an active part in monthly townhalls representing the engineering workstream.Requirements:1. Education: Bachelor's degree in Computer Science, Engineering, or a related field.2. Experience: 15+ years of experience in data engineering, with 5+ years of experience in a leadership role.3. Technical Skills: Strong knowledge in Snowflake, Fivetran, DBT, and orchestration tools (e.g., Apache Airflow, Prefect).4. Leadership Skills: Proven leadership and management experience, with the ability to motivate and inspire teams.5. Communication Skills: Excellent communication and collaboration skills, with the ability to work with cross-functional teams.Nice to Have:1. Certifications in data engineering, such as Snowflake Certified Data Engineer or AWS Certified Data Engineer.2. Experience with cloud-based data platforms, such as Azure, AWS, or GCP.What youll get from us:

Competitive SalaryCompany Pension SchemeComprehensive Health InsuranceFlexible and hybrid working options dependent on Customer requirements.24 days paid annual holidays + public holidays.Professional Development and Training OpportunitiesEmployee Assistance Program (EAP)Diversity, Equity, and Inclusion InitiativesCompany Events and Team-Building ActivitiesEqual Opportunities Employer:

Hexaware Technologies is an equal opportunity employer. We are dedicated to providing a work environment free from discrimination and harassment. All employment decisions at Hexaware are based on business needs, job requirements, and individual qualifications. We do not discriminate based on race including colour, nationality, ethnic or national origin, religion or belief, sex, age, disability, marital status, sexual orientation, parental status, gender reassignment, or any other status protected by law. We encourage candidates of all backgrounds to apply.Find out more at Hexaware.com.

Related Jobs

View all jobs

MLOps Engineering Manager

Senior Software Engineer, Data (Basé à London)

Software Engineering Manager, TPU/GPU Compiler (Basé à London)

Agile Delivery Manager

Principal Data Product Manager Insight Analytics

Engineering Manager - Autonomous Driving Forensics

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.

Career Paths in Artificial Intelligence: From Research to Management – How to Progress from Technical Roles to Leadership and Beyond

Artificial Intelligence (AI) stands at the forefront of technological innovation, shaping everything from healthcare diagnostics to autonomous vehicles and natural language processing. With the UK widely recognised as a growing hub for AI research and development, there has never been a better time to explore a career in artificial intelligence—or to advance your current trajectory within the field. A key question that often arises is: How can professionals move from hands-on technical roles in AI to leadership and management positions? This comprehensive guide will walk you through the evolving career landscape in AI, from entry-level posts to executive roles. We will examine in-demand skills, recommended pathways for professional development, and strategies to help you seamlessly ascend from technical responsibilities to strategic leadership. Whether you’re a recent graduate, a self-taught data whizz, or an experienced machine learning engineer aspiring to lead teams, this article will provide you with practical insights tailored to the UK’s vibrant AI sector.