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Data Engineer

2 months ago

Beckenham, Greater London, United Kingdom Adecco UK LTD Full time
Data Engineer Job Description

Company: Adecco UK LTD

Job Title: Data Engineer

Location: Bromley - Hybrid (3 days in office)

Contract Type: 12-month contract

Pay: £550 - £600 per day - Inside umbrella

About the Role

We are seeking a skilled Data Engineer to join our client's team in the [industry] industry. As a Data Engineer, you will play a vital role in designing, developing, and maintaining our client's data infrastructure.

You will be responsible for building the framework and systems necessary to process, store, and analyse large volumes of data, ensuring its integrity and availability for various teams within the organisation.

Key Responsibilities
  1. Collaborate with cross-functional teams to understand data requirements and design data solutions.
  2. Develop and maintain scalable data pipelines, both batch and real-time, to ensure efficient data processing and integration.
  3. Implement data models and schemas that meet business needs, ensuring data quality and consistency.
  4. Build and optimise ETL/ELT processes to extract, transform, and load data from various sources into the data warehouse.
  5. Perform data modelling, profiling, and analysis to identify data quality issues and recommend solutions.
  6. Develop and maintain data documentation, ensuring it is up-to-date and accessible to stakeholders.
  7. Monitor and troubleshoot data pipelines and systems to ensure smooth operation and minimal downtime.
  8. Collaborate with DevOps and IT teams to implement and maintain data security and compliance measures.
  9. Stay up-to-date with emerging technologies and industry trends, and evaluate their potential value and impact on data architectures and solutions.
Requirements
  1. Bachelor's degree in Computer Science, Engineering, or a related field.
  2. Proven experience as a Data Engineer, preferably working with large-scale data systems.
  3. Strong programming skills in Python, Java, or Scala, with experience in building data pipelines using frameworks like Apache Spark, Kafka, or Airflow.
  4. Familiarity with SQL and NoSQL databases, as well as data warehousing concepts and tools.
  5. Experience with cloud-based data platforms like AWS, Azure, or Google Cloud Platform.
  6. Solid understanding of data integration techniques and ETL/ELT best practices.
  7. Proficient in data modelling, schema design, and performance tuning.
What We Offer

Our client offers competitive compensation packages, comprehensive benefits, and a flexible work environment. Joining our client's organisation means being part of a dynamic team that values excellence, creativity, and innovation. You will have the opportunity to work on cutting-edge projects and make a significant impact on the success of the company.