Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain scalable data pipelines using SQL and Python in a fast-paced environment.
- Company: Join Artefact, a rapidly growing data service provider transforming businesses with data-driven solutions.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Be part of a collaborative culture with over 2000 talented professionals across 26 offices.
- Why this job: Lead innovative data projects and make a real impact in a dynamic team.
- Qualifications: 3+ years in data engineering with strong skills in SQL, Python, and cloud technologies.
The predicted salary is between 60000 - 80000 £ per year.
Who we are
Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. We have over 2000 employees across 26 offices who are focused on accelerating digital transformation.
Job Summary
We are looking for a Senior Data Engineer to join our dynamic team. This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment.
Key Responsibilities
- Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark.
- Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms.
- Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing.
- Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations.
- Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project deliverables.
- Develop and enforce best practices in data governance, security, and compliance within the organisation.
- Optimise data retrieval and develop dashboards and reports for business teams.
- Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function.
Qualifications
- Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
- 3+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies.
- Expertise in building scalable data workflows using cloud-native orchestration tools and distributed data processing frameworks.
- Demonstrated experience with Infrastructure as Code tooling such as Terraform.
- Solid understanding of CI/CD principles and DevOps/DevSecOps practices.
- Proven leadership skills and experience managing data engineering teams.
- Excellent problem-solving skills and the ability to work with ambiguity.
- Proficient in leveraging AI-assisted workflows to optimise task efficiency.
- Strong communication and interpersonal skills.
- Excellent understanding of data architecture involving data mesh, data lake, data warehouse and data lakehouse.
Preferred Qualifications:
- Certifications in Azure, AWS, or GCP.
- Certifications in Databricks, Snowflake or similar technologies.
- Experience in leading large scale data engineering projects.
Working Conditions
Hybrid work arrangement: two-three days per week working from the office.
Senior Data Engineer employer: LinkedIn Job Wrapping
Contact Detail:
LinkedIn Job Wrapping Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. Attend industry meetups or webinars to meet new folks and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data projects, especially those involving SQL, Python, and cloud technologies. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with CI/CD practices and how you've led teams in the past. Practice common interview questions to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining Artefact. Tailor your application to highlight your relevant experience and how you can contribute to our dynamic team.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with SQL, Python, and any relevant big data technologies. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've led any data projects or have examples of your work, don’t hesitate to include them. We’re keen on seeing your hands-on experience and how you’ve tackled challenges in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at LinkedIn Job Wrapping
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like SQL, Python, and cloud platforms. Brush up on your experience with Databricks, Snowflake, and CI/CD practices, as these will likely come up during the interview.
✨Showcase Your Leadership Skills
Since this role involves managing a team, be prepared to discuss your leadership style and past experiences. Think of specific examples where you’ve guided a team through challenges or implemented best practices in data governance.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that test your problem-solving abilities. Practice articulating your thought process when tackling complex data integration issues or optimising data workflows, as this will demonstrate your analytical skills.
✨Understand the Business Impact
Artefact is all about transforming data into business impact. Be ready to discuss how your technical skills can drive tangible results for clients. Think about past projects where your work directly contributed to business success and be prepared to share those stories.