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- Tasks: Design and develop high-performance data pipelines and support analytics infrastructure.
- Company: Join Peaple Talent, a dynamic partner in the tech industry, based in Bristol.
- Benefits: Enjoy a full-time role with opportunities for remote work and professional growth.
- Why this job: Be part of an innovative team that values collaboration and continuous improvement.
- Qualifications: Experience with SQL, Python, and data pipeline architecture is essential.
- Other info: Ideal for mid-senior level candidates looking to make an impact in technology.
The predicted salary is between 60000 - 84000 £ per year.
This range is provided by Peaple Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from Peaple Talent
Peaple Talent have partnered with an existing client in Bristol looking to recruit a Data Engineer.
The successful candidate will collaborate to build, enhance, and support both data-driven solutions and our clients analytics infrastructure, from initial design through to testing and ongoing development.
Key Responsibilities:
- Design, develop, and sustain high-performance data pipelines and infrastructure that are both scalable and aligned with company goals and technical frameworks.
- Participate in Agile team practices and contribute to essential technical workflows, including peer code reviews.
- Partner with other data engineers to exchange expertise and collaboratively deliver impactful data solutions.
- Stay current with emerging technologies and contribute to innovation through hands-on prototypes and exploratory projects.
- Actively support a culture of ongoing enhancement, identifying areas for process automation and operational efficiency.
- Translate complex engineering concepts into accessible insight for audiences without technical backgrounds.
- Diagnose and resolve intricate data challenges while fine-tuning existing systems to improve speed, reliability, and performance.
- Work closely with multidisciplinary teams to gather requirements and ensure solutions are tailored to evolving business priorities.
- Establish and maintain data quality controls, validation mechanisms, and monitoring tools to uphold data integrity and comply with governance protocols.
Key Experience Required:
- Hands-on expertise with SQL, Python, and PySpark, used to build, test, and maintain robust data pipelines for processing both structured and semi-structured datasets.
- Familiar with Agile delivery frameworks, and using tools such as Azure DevOps for planning and tracking work.
- Solid grasp of data modelling principles and commonly used patterns in pipeline architecture and design.
- Confident using Git-based version control systems, including Azure DevOps or similar.
- Skilled in managing and scheduling data workflows using orchestration platforms like Apache AirFlow.
- Involved in building and optimizing data warehouses on modern analytics platforms like Snowflake, Redshift, or Databricks.
- Familiar with visual or low-code data integrations tools, including platforms such as SnapLogic or Talend.
- Hands-on experience working with APIs for data ingestion, as well as interacting with cloud infrastructure using APIs, SDKs, or command-line tools.
- Proficient in designing cloud-native data pipelines using services on platforms like AWS (including Lambda, S3, Glue, Redshift, Athena, Secrets Manager) or comparable cloud tools.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
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Job function
Information Technology
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Industries
Technology, Information and Media
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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Data Engineer employer: Peaple Talent
Contact Detail:
Peaple Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as SQL, Python, and PySpark. Being able to discuss your hands-on experience with these tools during interviews will demonstrate your capability and readiness for the role.
✨Tip Number 2
Engage with the Agile community by participating in relevant forums or local meetups. This not only helps you stay updated on best practices but also allows you to network with professionals who might provide insights or referrals for the Data Engineer position.
✨Tip Number 3
Showcase your collaborative skills by discussing past projects where you worked closely with multidisciplinary teams. Highlighting your ability to gather requirements and tailor solutions will resonate well with the hiring team.
✨Tip Number 4
Stay current with emerging technologies related to data engineering. Consider building a small project or prototype using cloud-native services like AWS or Azure to demonstrate your initiative and practical knowledge during interviews.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Engineer role. Focus on your hands-on expertise with SQL, Python, and PySpark, as well as any experience with Agile frameworks and data pipeline architecture.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the position and the company. Mention specific projects or experiences that demonstrate your ability to design and maintain data pipelines, and how you can contribute to their analytics infrastructure.
Showcase Technical Skills: Clearly list your technical skills in your application. Include your proficiency with tools like Azure DevOps, Apache AirFlow, and cloud services such as AWS. Providing examples of how you've used these tools in past roles can strengthen your application.
Highlight Collaboration Experience: Since the role involves working closely with multidisciplinary teams, emphasise any previous collaborative projects. Discuss how you’ve partnered with other engineers or teams to deliver impactful data solutions, showcasing your teamwork and communication skills.
How to prepare for a job interview at Peaple Talent
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with SQL, Python, and PySpark. Bring examples of data pipelines you've built or optimised, and be ready to explain the challenges you faced and how you overcame them.
✨Understand Agile Methodologies
Since the role involves participating in Agile team practices, brush up on Agile principles and be ready to discuss your experience with tools like Azure DevOps. Highlight any specific contributions you've made in Agile environments.
✨Demonstrate Problem-Solving Abilities
Expect to face questions about diagnosing and resolving data challenges. Prepare to share specific instances where you improved system performance or data integrity, showcasing your analytical skills.
✨Communicate Complex Concepts Simply
You'll need to translate complex engineering concepts for non-technical audiences. Practice explaining your past projects in a way that anyone can understand, focusing on the impact of your work rather than just the technical details.
