Data Engineer Data Engineer …

Morgan McKinley
in London, United Kingdom
Contract, Full time
Be the first to apply
Competitive
Morgan McKinley
in London, United Kingdom
Contract, Full time
Be the first to apply
Competitive
Data Engineer
Job Summary
  • London
  • Contract
  • BBBH792992
  • Sep 13, 2021
  • Competitive

Job Description
Data Engineer - Excellent opportunity to join one of the Big4 Tech Companies - SQL & Python Specialist - Competitive salary & benefits

We are looking for a Data Engineer to not only build data pipelines but also extend the next generation of our client's data tools. As a Data Engineer, you will develop a clear sense of connection with the organization and leadership - as Data Engineering is the eyes through which they see the product. As a member of the Infrastructure Strategy Data Engineering team, you will belong to a centralized Data Science/Data Engineering team who partners closely with teams in the company's Infrastructure organization. Through the consulting-nature of the team, you will contribute to a variety of projects and technologies, depending on partner needs. Projects include analytics, ML modeling, tooling, services, and more.

Responsibilities

  • Partner with leadership, engineers, program managers and data scientists to understand data needs.

  • Design, build and launch extremely efficient and reliable data pipelines to move data across a number of platforms including Data Warehouse, online caches and real-time systems.

  • Communicate, at scale, through multiple mediums: Presentations, dashboards, company-wide datasets, bots and more.

  • Educate your partners: Use your data and analytics experience to 'see what's missing', identifying and addressing gaps in their existing logging and processes. Broad range of partners equates to a broad range of projects and deliverables: ML Models, datasets, measurements, services, tools and process.

  • Leverage data and business principles to solve large scale web, mobile and data infrastructure problems.

  • Build data expertise and own data quality for your areas.


Minimum Qualifications

  • Strong SQL & Data Modelling skills

  • 5+ years of Python development experience.

  • 5+ years of SQL experience.

  • 3+ years of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M).

  • Experience analyzing data to discover opportunities and address gaps.

  • 5+ years experience in custom ETL design, implementation and maintenance.

  • Experience working with cloud or on-prem Big Data/MPP analytics platform(i.e. Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar).

Morgan McKinley is acting as an Employment Agency and references to pay rates are indicative.

BY APPLYING FOR THIS ROLE YOU ARE AGREEING TO OUR TERMS OF SERVICE WHICH TOGETHER WITH OUR PRIVACY STATEMENT GOVERN YOUR USE OF MORGAN MCKINLEY SERVICES.

Morgan McKinley logo
More Jobs Like This
See more jobs
Close
Loading...