Greater London, United Kingdom
Live, first seen by us 76 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Build and maintain market, economic, research, news and internal data pipelines
Design and implement a scalable bronze/silver/gold data architecture
Establish and monitor data quality gates
Develop and manage instrument, ticker, country, client, source and theme metadata
Create APIs and tables for agent tools, dashboards and quant models
Build and maintain market, economic, research, news, and internal data pipelines
Design and implement a scalable bronze/silver/gold data architecture
Establish and monitor data quality gates to ensure data integrity and accuracy
Develop and manage instrument, ticker, country, client, source, and theme metadata
Create APIs and tables for seamless integration with agent tools, dashboards, and quant models
2+ years of relevant work experience in data engineering or a similar role
Strong proficiency in Python and SQL
experience in production-level ETL/ELT processes
In-depth knowledge of cloud data stack technologies, such as Azure, Databricks, Delta Lake, or Snowflake
Experience with time-series data and complex data structures
- A proactive and self-motivated approach to work, with a passion for data engineering and continuous improvement. - A bachelor's degree in Computer Science, Engineering, or a related field is preferred. - 2+ years of relevant work experience in data engineering or a similar role.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 76
Up longer than most. Similar jobs usually come down between day 6 and day 54.
Well past Newmark Group’s usual: its jobs come down by about day 35.
From 10,948 similar postings that came down, and 18 of Newmark Group’s. Coming down is not always a hire.
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Ensure data security and privacy compliance, adhering to industry standards and regulations. - Strong proficiency in Python and SQL, with experience in production-level ETL/ELT processes. - In-depth knowledge of cloud data stack technologies, such as Azure, Databricks, Delta Lake, or Snowflake.
- Strong proficiency in Python and SQL, with experience in production-level ETL/ELT processes. - In-depth knowledge of cloud data stack technologies, such as Azure, Databricks, Delta Lake, or Snowflake. - Experience with time-series data and complex data structures, demonstrating an understanding of data quality and monitoring.
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Yes. We’ve followed one other Data Engineer job there since July 2026. It came down after 8 days.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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Greater London, United Kingdom
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