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Data Engineer – Python, Linux, Apache Airflow, AWS or GCP

I’m 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 £50k

Duration: Permanent

Location: Hybrid 4 days from home / 1 day from the office in Central London (Wednesday)

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