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- Tasks: Lead and deliver high-impact data engineering projects while mentoring junior engineers.
- Company: Join a dynamic team focused on innovative data solutions in a hybrid/remote environment.
- Benefits: Enjoy flexible working options, competitive pay, and opportunities for professional growth.
- Why this job: Perfect for tech-savvy individuals eager to bridge business and technology in a fast-paced setting.
- Qualifications: 3+ years as a Data Engineer with expertise in Snowflake, SQL, and cloud platforms.
- Other info: This role is ideal for those who thrive in ambiguity and enjoy driving clarity.
The predicted salary is between 43200 - 72000 £ per year.
Senior/Lead Data Engineer – Contract (Inside IR35) – Hybrid/Remote (UK-Based) We are seeking a Senior/Lead Data Engineer to take ownership of high-impact data projects across multiple environments. This is a hands-on technical role with leadership responsibilities, ideal for someone who thrives in complex, fast-moving settings and can confidently guide both the technical direction and stakeholder engagement. About the Role As a Senior or Lead Data Engineer, you\’ll not only design and build modern, scalable data solutions but also mentor team members, engage with senior stakeholders, and help drive clarity in ambiguous or evolving situations. You\’ll be working across cloud platforms (AWS, Azure, GCP) and using modern data tools like dbt, Snowflake, and Databricks. This role is perfect for someone who can bridge the gap between business and technology, take the initiative, and ensure projects stay aligned with strategic goals. Key Responsibilities Lead the technical delivery of data engineering projects, from architecture to deployment Collaborate with business stakeholders to define requirements, manage expectations, and translate needs into scalable solutions Provide technical guidance and mentoring to junior and mid-level engineers Navigate ambiguity and shifting priorities with confidence, helping teams remain focused and productive Champion engineering best practices across development, testing, deployment, and documentation Ensure solutions are secure, reliable, and cost-effective in cloud environments Required Skills and Experience Proven experience as a Senior or Lead Data Engineer in a cloud-native environment Strong communication skills, with experience working directly with stakeholders and cross-functional teams Excellent problem-solving ability, especially when facing unclear or incomplete requirements 3+ years of experience designing and implementing Snowflake solutions Expert-level SQL and strong proficiency in Python, Scala, or Java Solid experience with ETL/ELT pipelines using dbt Hands-on experience with cloud platforms (AWS, Azure, or GCP) Familiarity with orchestration tools like Airflow, Dagster, or Azure Data Factory Desirable Skills Background in software engineering or DevOps practices (CI/CD, version control, testing) Experience with streaming technologies (e.g., Kafka, Kinesis) Exposure to deploying AI/ML models in production environments Knowledge of tools like Databricks, BigQuery, or Microsoft Fabric #J-18808-Ljbffr
Lead/Senior Snowflake Data Engineer employer: Harvey Nash Group
Contact Detail:
Harvey Nash Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead/Senior Snowflake Data Engineer
✨Tip Number 1
Network with professionals in the data engineering field, especially those who have experience with Snowflake and cloud platforms. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 2
Showcase your leadership skills by discussing any previous mentoring or team-leading experiences during informal conversations. This will demonstrate your ability to guide teams and manage projects effectively.
✨Tip Number 3
Familiarise yourself with the latest trends and best practices in data engineering, particularly around Snowflake and ETL/ELT processes. Being well-versed in current technologies will help you engage confidently with stakeholders.
✨Tip Number 4
Prepare to discuss specific examples of how you've navigated ambiguity in past projects. Highlighting your problem-solving abilities will show that you're capable of handling the complexities of this role.
We think you need these skills to ace Lead/Senior Snowflake Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Senior or Lead Data Engineer, particularly in cloud-native environments. Emphasise your expertise with Snowflake, SQL, and any relevant programming languages like Python or Scala.
Craft a Compelling Cover Letter: In your cover letter, explain why you're the perfect fit for this role. Discuss your leadership experience, your ability to navigate ambiguity, and how you've successfully delivered data engineering projects in the past.
Showcase Relevant Projects: Include specific examples of high-impact data projects you've led or contributed to. Highlight your experience with modern data tools like dbt and Databricks, and mention any cloud platforms you've worked with.
Prepare for Technical Questions: Anticipate technical questions related to data engineering, cloud solutions, and problem-solving scenarios. Be ready to discuss your approach to designing scalable data solutions and mentoring team members.
How to prepare for a job interview at Harvey Nash Group
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Snowflake and other cloud platforms in detail. Highlight specific projects where you designed and implemented data solutions, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Leadership Skills
Since this role involves mentoring and guiding teams, share examples of how you've led projects or supported junior engineers in the past. Discuss your approach to fostering collaboration and maintaining focus during complex projects.
✨Engage with Stakeholders
Prepare to talk about your experience working with business stakeholders. Be ready to explain how you translate technical requirements into scalable solutions and manage expectations effectively, especially in ambiguous situations.
✨Emphasise Problem-Solving Abilities
Expect questions that assess your problem-solving skills, particularly when dealing with unclear requirements. Share specific instances where you navigated ambiguity and how you ensured project alignment with strategic goals.