Data Engineer - Databricks

Nasstar
9 months ago
Applications closed

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Engineering Manager - Data Science Team

Head of Data Science Technology (Product, Engineering, Design) · London ·

We are Colibri Digital

Born in the cloud, Colibri Digital is one of the fastest-growing Cloud Consultancies in the UK with deep expertise in areas such as big data, data science, machine learning, and cloud computing. We are Premier Tier partners with AWS and our recent attainment of Gold competency with Microsoft proves our excellence in evolving cloud and data technologies. Led by industry-recognised technologists we are a dynamic team with a proven track record of delivering masterclass cloud solutions across all industry verticals.

Location:Home-based (UK Only)

Job Summary

We are seeking a number of highly skilled Data Engineers to join our team on a contract basis and play a pivotal role in designing, implementing, and managing new data technology infrastructure. You will be responsible for building and maintaining a scalable and robust cloud-based platform that consolidates existing legacy data services. The platform will enable efficient data management, automation of processes, and provide high-quality data services to our users and tooling.

Key Responsibilities

  • Design, develop, and implement data pipelines and ETL processes to ingest,
  • transform, and load data into the data platform.
  • Collaborate with the Lead Architect and Cloud Engineer to ensure the seamless
  • integration of data services within the cloud infrastructure.
  • Develop data models and schemas to support efficient data storage and retrieval.
  • Implement data quality and validation processes to ensure the accuracy and
  • consistency of data.
  • Optimize data processes and queries for performance and scalability.
  • Collaborate with business stakeholders to understand their data requirements
  • and provide insights and solutions for data-driven decision-making.
  • Work closely with data scientists to provide them with the necessary data and
  • tooling for developing revenue-generating insights and models.
  • Implement data governance and security controls to ensure data privacy and
  • compliance with regulations.
  • Stay updated with the latest data technologies and trends and make
  • recommendations for technology adoption and improvements.

Requirements

  • Proven experience as a Data Engineer, working with Azure data services.
  • Databricks experience is essential for this role.
  • Strong understanding of data modelling concepts and relational and
  • non-relational databases.
  • Proficiency in SQL and experience with data integration and ETL tools (e.g.,
  • Azure Data Factory, Azure Databricks).
  • Experience with data warehousing concepts and technologies (e.g., Azure
  • Synapse Analytics, Azure Data Lake Storage).
  • Familiarity with big data technologies and frameworks (e.g., Hadoop, Spark) is a
  • plus.
  • Knowledge of data governance and data security best practices.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills to work effectively within a team
  • environment.
  • Experience with Agile methodologies is a plus.

We welcome applications even if you don't think you match 100% of the role selection criteria

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