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- Tasks: Design, build, and optimize data pipelines using Python, SQL, and cloud platforms.
- Company: Join a small but outstanding Data Analytics consultancy with an impressive client list.
- Benefits: Enjoy a hybrid work model: 4 days remote, 1 day in the office.
- Why this job: Work on impactful projects that drive decision-making for blue-chip companies.
- Qualifications: 2+ years experience in data engineering, Python, Linux, and cloud platforms required.
- Other info: Competitive salary around Ā£50k for a permanent role.
The predicted salary is between 36000 - 60000 Ā£ per year.
Data Engineer ā Python, Linux, Apache Airflow, AWS or GCP Iām working with a small but outstanding Data Analytics consultancy who are looking to recruit a Data Engineer with at least 2 years experience to work on a long term client project. They work with a very impressive client list to deliver bespoke data projects to drive decision making and client . In this role, you’ll design, build, and optimize data pipelines and infrastructure to support their business intelligence and data analytics tools. Key responsibilities: * Develop data pipelines using Python, SQL and cloud platforms (GCP ideally) * Integrate data from databases, data lakes, and other sources * Implement efficient ETL/ELT processes for high-quality, reliable data * Optimize pipeline performance and scalability * Collaborate with data teams to deliver impactful data solutions Required skills: * 2+ years experience in a data Engineering role * 2+ years of work experience using Python * 2+ years of work experience using Linux systems and their administration * 2+ years of work experience using various databases (BigQuery, PostgreSQL, MSSQL, Etc) * Experience with Cloud Platforms, ideally GCP * Understanding of data modeling, ETL, and data quality best practices * Strong problem-solving and analytical skills * Excellent communication and collaboration abilities This will be a great role in a small data consultancy that punch above their weight in dealing with many blue chip companies and offering end to end data services. Salary: Circa Ā£50k Duration: Permanent Location: Hybrid 4 days from home / 1 day from the office in Central London (Wednesday) APPLY NOW
Data Engineer ā Python, SQL, Linux, GCP - Outstanding Data Consultancy employer: Avanti Recruitment
Contact Detail:
Avanti Recruitment Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Data Engineer ā Python, SQL, Linux, GCP - Outstanding Data Consultancy
āØTip Number 1
Familiarize yourself with the specific tools and technologies mentioned in the job description, such as Python, SQL, and GCP. Having hands-on experience or projects that showcase your skills in these areas will make you stand out.
āØTip Number 2
Network with professionals in the data engineering field, especially those who work with cloud platforms like GCP. Engaging in relevant online communities or attending meetups can help you gain insights and potentially get referrals.
āØTip Number 3
Prepare to discuss your previous projects where you developed data pipelines or worked on ETL processes. Be ready to explain the challenges you faced and how you optimized performance, as this will demonstrate your problem-solving skills.
āØTip Number 4
Showcase your collaboration skills by highlighting any experience working in teams or cross-functional projects. This role emphasizes communication and teamwork, so be prepared to share examples of how you've successfully collaborated with others.
We think you need these skills to ace Data Engineer ā Python, SQL, Linux, GCP - Outstanding Data Consultancy
Some tips for your application š«”
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and Linux. Include specific projects where you've developed data pipelines or worked with cloud platforms like GCP.
Craft a Strong Cover Letter: In your cover letter, emphasize your problem-solving skills and your ability to collaborate with teams. Mention any relevant experience with ETL/ELT processes and how you can contribute to the consultancy's goals.
Showcase Relevant Projects: If you have worked on notable data projects, describe them briefly in your application. Focus on your role, the technologies used, and the impact of your work on decision-making.
Highlight Communication Skills: Since collaboration is key in this role, make sure to mention any experiences that demonstrate your communication and teamwork abilities. This could be through previous roles or projects.
How to prepare for a job interview at Avanti Recruitment
āØShowcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and Linux in detail. Highlight specific projects where you've developed data pipelines or worked with cloud platforms like GCP. This will demonstrate your hands-on expertise and problem-solving abilities.
āØUnderstand the Companyās Projects
Research the consultancy's past projects and their client list. Being able to reference specific examples during your interview will show your genuine interest in the company and how you can contribute to their success.
āØPrepare for Scenario-Based Questions
Expect questions that assess your analytical skills and problem-solving approach. Prepare to discuss how you would handle specific challenges related to data integration, ETL processes, or optimizing pipeline performance.
āØEmphasize Collaboration Skills
Since the role involves working closely with data teams, be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how they have helped you deliver impactful data solutions.
