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- Tasks: Join us as a Data Engineer to create impactful data solutions for clients.
- Company: Dufrain is a leading data and analytics company shaping the future of decision-making.
- Benefits: Enjoy a collaborative work environment with opportunities for growth and knowledge-sharing.
- Why this job: Be part of a dynamic team that values innovation and problem-solving in the data landscape.
- Qualifications: Strong skills in Snowflake, Python, and data pipeline development are essential.
- Other info: We welcome diverse applicants and offer equal opportunities for all.
The predicted salary is between 36000 - 60000 £ per year.
At Dufrain, we don’t just build data solutions—we shape the future of data-driven decision-making. Do you thrive on solving complex challenges and turning data into powerful insights that drive transformation?
We’re looking for Data Engineers who have a broad range of data engineering skills, with a focus on Snowflake, along with experience with either Databricks or Microsoft Fabric.
ABOUT THE ROLE
As a Data Engineer, you will play a key role in delivering high-quality data solutions for our clients. This role offers the opportunity to work across a variety of technologies and contribute to the growth of our Consulting practice.
ROLE RESPONSIBILITIES
- Develop good working relationships with clients on projects, including interpersonal skills with both business and technical colleagues.
- Work as a data engineer to develop performant end-to-end solutions in a collaborative team environment.
- Deliver high-quality work, escalate problems when necessary, and propose solutions.
- Support the growth of the Consulting practice through contributions to initiatives, knowledge-sharing, and data services.
ESSENTIAL TECHNICAL SKILLS REQUIRED
We’re looking for candidates with strong expertise across the data engineering and analytics landscape. Key technical skills include:
- Snowflake expertise: Proven experience designing and delivering data solutions in Snowflake, plus proficiency in platforms such as Databricks (Azure or AWS), Microsoft Fabric, Azure Data Factory, or Azure Synapse.
- Python programming: Ability to write clean, efficient Python code for data manipulation and analysis.
- Data pipeline development: Experience building data pipelines for Snowflake using native tools or third-party platforms like Informatica, Fivetran, or Matillion.
- End-to-end data project delivery: Success in delivering comprehensive data solutions involving data governance, architecture, ETL/ELT, data lakes, warehousing, MDM, and BI.
- Engineering delivery practices: Understanding of Agile and DevOps methodologies, including Git, APIs, Containers, Microservices, and data pipeline orchestration.
- Data architecture and modelling: Familiarity with approaches such as Inmon, Kimball, or DataVault.
Nice to have certifications:
- SnowPro Advanced Data Engineer
- SnowPro Advanced Administrator
ABOUT YOU
You’re a problem solver, collaborator, and forward-thinker who:
- Brings energy, focus, and meets deadlines.
- Delivers practical, insightful solutions.
- Communicates confidently with stakeholders and contributes to strategic discussions.
- Shares knowledge and supports team members.
- Works independently with resilience under pressure.
- Takes ownership of deliverables and produces high-quality work.
- Adapts easily to solo or team work.
- Stays updated on industry trends and standards.
If you’re passionate about data and want to join a leading data and analytics company in the UK, consider applying to Dufrain.
Please submit your CV with relevant experience and certifications. Applicants must have the right to work in the UK; no sponsorship is available now or in the future. Visa sponsorship is not available.
We are an equal opportunity employer, valuing diversity and encouraging applications from all backgrounds. We do not discriminate based on race, religion, gender, sexual orientation, disability, age, or other protected statuses.
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Data Engineer - Snowflake Consulting · · employer: Dufrain
Contact Detail:
Dufrain Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Snowflake Consulting · ·
✨Tip Number 1
Familiarise yourself with Snowflake and its features. Since the role specifically requires expertise in Snowflake, having a solid understanding of its architecture and capabilities will help you stand out during discussions.
✨Tip Number 2
Network with current or former employees at Dufrain. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 3
Prepare to discuss your experience with data pipeline development. Be ready to share specific examples of projects where you've built data pipelines, especially using tools like Informatica or Fivetran, as this is crucial for the role.
✨Tip Number 4
Showcase your problem-solving skills. During interviews, highlight instances where you've tackled complex data challenges and how your solutions positively impacted your previous projects or teams.
We think you need these skills to ace Data Engineer - Snowflake Consulting · ·
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, Databricks, and any relevant data engineering skills. Use specific examples to demonstrate your expertise in building data pipelines and delivering data solutions.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your problem-solving abilities. Mention how your skills align with the role's responsibilities and express your enthusiasm for contributing to Dufrain's Consulting practice.
Highlight Technical Skills: Clearly list your technical skills related to data engineering, such as Python programming, data architecture, and familiarity with Agile methodologies. This will help the hiring team quickly see your qualifications.
Showcase Soft Skills: In addition to technical skills, emphasise your interpersonal skills and ability to work collaboratively. Provide examples of how you've successfully communicated with stakeholders or contributed to team projects in the past.
How to prepare for a job interview at Dufrain
✨Showcase Your Snowflake Expertise
Make sure to highlight your experience with Snowflake during the interview. Be prepared to discuss specific projects where you've designed and delivered data solutions using Snowflake, as this is a key requirement for the role.
✨Demonstrate Your Problem-Solving Skills
Since the company values problem solvers, come ready with examples of complex challenges you've faced in previous roles. Explain how you approached these challenges and the solutions you implemented, particularly in data engineering contexts.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice articulating your thoughts clearly and confidently, especially when discussing technical concepts. Be ready to engage in strategic discussions and demonstrate your ability to communicate with both technical and non-technical stakeholders.
✨Familiarise Yourself with Agile and DevOps Practices
Understanding Agile and DevOps methodologies is crucial for this position. Brush up on these practices and be prepared to discuss how you've applied them in your previous work, particularly in relation to data pipeline development and project delivery.
