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Data Engineer
- Opportunity for a Data Engineer to join a market leading Software Development service
- Salary up to 55,000 + fantastic benefits including our Inclusive working culture, Private Medical Insurance and Tech Loan Scheme and more!
- Apply online or contact Chelsea Hackett via
ABOUT THE CLIENT:My client provides businesses with tools to enhance the effectiveness of customer communications. Their services include tracking phone interactions, analysing conversations, and linking them to online activities. By extracting valuable insights from incoming calls, they aim to drive improvements in marketing strategies, sales performance, and customer support. Operating for more than ten years, they cater to sectors like retail, finance, and healthcare, with a presence in both the UK and the US.
THE BENEFITS:
- Early finish Friday's
- Options to buy additional holidays
- Private medical insurance
- Tech scheme loan
- Hybrid working
- Employee assistance programme
- Life insurance
THE DATA ENGINEER ROLE:
- We are seeking a skilled Data Engineer to design, develop, and maintain high-performing data pipelines capable of handling large data volumes. In this role, you will lead data warehouse projects that support efficient data storage and retrieval, meeting critical business needs.
- You will work closely with data science and engineering teams to integrate data solutions seamlessly into operational workflows, ensuring data is timely, accurate, and accessible. Key responsibilities include managing ETL processes, designing data models that support analytics and reporting, and upholding best practices in data governance, quality, and regulatory compliance.
- You will implement robust data monitoring systems to maintain data integrity and work collaboratively with cross-functional teams to deliver impactful, data-driven insights and solutions.
DATA ENGINEER - ESSTENTIAL SKILLS:
- Minimum of 2 years of experience in a commercial data engineering or related role
- Skilled in SQL and data modelling
- Proficient in data warehouse technologies (such as Amazon Redshift, Google BigQuery, or Snowflake)
- Hands-on experience with ETL tools and frameworks, including Apache Airflow, Talend, or dbt
- Strong programming ability in Python or another data-focused language
- Knowledgeable about data management best practices, including governance, security, and compliance standards
- Familiar with cloud platforms and environments for data processing
TO BE CONSIDERED…Please either apply by clicking online or emailing me directly . By applying to this role you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.
KEY SKILLS: SQL, Data Modelling, ETL tools, Frameworks, Python, Cloud platforms, Data Processing
