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- Tasks: Build and maintain data pipelines, resolve data issues, and collaborate with teams.
- Company: Join a global consulting firm focused on evolving data infrastructure.
- Benefits: Enjoy mostly remote work with occasional office visits and competitive pay.
- Why this job: Make a real impact by solving complex data challenges in a fast-paced environment.
- Qualifications: Experience as a Data Engineer or Software Engineer; proficient in Python or SQL.
- Other info: Contract role for 7-8 months, outside IR35.
I'm working with a global consulting firm that is seeking a Data Engineer to support their evolving data infrastructure and drive operational excellence. This role plays a vital part in the day-to-day operations of the business and presents a strong opportunity to make a real impact by solving complex data challenges, contributing to cross-functional projects, and improving key data systems.
As a core member of the data team, you'll focus on building robust data pipelines, resolving data issues, and collaborating with analysts, engineers, and stakeholders. If you're someone who enjoys a fast-paced environment and thrives on making data systems smarter and more efficient, this could be a great fit.
Key Responsibilities- Design, build, and maintain data pipelines to support both operational and analytical workflows
- Ensure data integrity and reliability by applying best practices in validation and quality assurance
- Investigate and resolve data issues as they arise, identifying root causes and implementing long-term solutions
- Lead and support data migration projects, modernising legacy systems through cloud-based technologies
- Collaborate with analysts, data scientists, and engineering teams to deliver effective, data-driven solutions
- Continuously improve internal tools and processes to streamline data operations
- Proven experience as a Data Engineer or Software Engineer with strong data architecture knowledge
- Proficient in Python or SQL, with the ability to transform and analyze complex datasets
- Solid experience with Kafka for stream processing and AWS (especially Redshift and S3)
- Skilled in implementing testing strategies to ensure consistent data quality
- Familiar with version control systems like Git and experienced in collaborative, agile environments
- Self-motivated and capable of managing multiple tasks while contributing to a team-oriented culture
If you're interested, please get in touch or apply now to find out more.
Redshift Data Engineer Contract employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Redshift Data Engineer Contract
✨Tip Number 1
Familiarise yourself with Redshift and AWS services. Since this role heavily involves these technologies, having hands-on experience or even completing relevant online courses can give you a significant edge during discussions.
✨Tip Number 2
Network with professionals in the data engineering field. Join relevant online forums or LinkedIn groups where you can connect with current Data Engineers. This could lead to valuable insights about the role and potentially even referrals.
✨Tip Number 3
Prepare to discuss your experience with data pipelines and problem-solving. Be ready to share specific examples of how you've tackled data issues in the past, as this will demonstrate your practical knowledge and ability to contribute immediately.
✨Tip Number 4
Showcase your collaborative skills. Since the role involves working with analysts and engineers, think of instances where you've successfully collaborated on projects. Highlighting your teamwork abilities can set you apart from other candidates.
We think you need these skills to ace Redshift Data Engineer Contract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience as a Data Engineer or Software Engineer. Emphasise your skills in Python, SQL, and any experience with AWS, particularly Redshift and S3.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering. Mention specific projects where you've built data pipelines or resolved data issues, and how these experiences align with the responsibilities of the role.
Highlight Technical Skills: In your application, clearly list your technical skills, especially your proficiency in Kafka for stream processing and your familiarity with version control systems like Git. This will demonstrate your capability to handle the technical demands of the job.
Showcase Problem-Solving Abilities: Provide examples of how you've investigated and resolved data issues in previous roles. Highlight your approach to identifying root causes and implementing long-term solutions, as this is crucial for the position.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and Kafka in detail. Bring examples of past projects where you designed and built data pipelines, as this will demonstrate your technical proficiency and problem-solving abilities.
✨Understand the Company’s Data Needs
Research the consulting firm and their data infrastructure. Understanding their specific challenges and how your skills can address them will show your genuine interest in the role and help you tailor your responses during the interview.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to resolve data issues and implement long-term solutions. Think of scenarios from your previous work where you successfully tackled similar challenges and be ready to explain your thought process.
✨Emphasise Collaboration and Teamwork
Since the role involves working closely with analysts and engineers, highlight your experience in collaborative environments. Share examples of how you’ve contributed to team projects and improved processes, showcasing your ability to work well within a team.
