2 hours ago
Data Engineer building robust data pipelines and scalable architecture at Ledgy. Collaborating with teams to deliver insights driving business decisions.
2 days ago
Senior Data Engineer shaping the future architecture of complex data systems at Adthena. Collaborating with engineering teams while utilizing cutting-edge technologies and agile practices.
November 21
Senior Data Infrastructure Engineer designing and operating distributed data architectures. Collaborating with military staff and teams to enhance decision-making processes with cloud technologies.
🌏 Anywhere in the World
💵 $180k - $240k / year
💰 $21M Venture Round on 2022-10
⏰ Full Time
🟠 Senior
👷 Infrastructure Engineer
November 11
Senior Data Platform Engineer acting as a technical lead and escalation point for support services at Telefónica Tech. Delivering ongoing support and optimization for enterprise data platforms.
November 11
Data Engineer at Kraken focusing on extracting and organizing blockchain data. Collaborating with teams to enhance data integrity and analysis for institutional clients.
November 7
Senior AI / Data Engineering Consultant at Telefónica Tech leading projects in AI, Data Science and Data Engineering, focusing on Microsoft Azure solutions. Client-facing role requiring innovative thinking and mentoring.
November 7
Senior Data Engineer at Olo shaping the future of restaurant technology through data solutions. Collaborating with cross-functional teams to enhance guest experiences across online and offline channels.
October 31
Data Engineer overseeing the company data warehouse and providing MI and KPI reporting. Supporting business performance through effective data analysis and insights.
October 22
Senior Data Engineer at ATREIDES developing large-scale platforms for geospatial data analytics. Collaborating with cross-functional teams to deliver innovative data-driven solutions.
October 21
Data Engineer supporting MDM initiative and associated data governance activities. Implementing data pipelines, metadata management, and data quality solutions within Azure environments.
October 3
Data Engineer focusing on data pipelines for life sciences at Veeva, improving data processing and collaboration with data science teams.
October 2
Senior Data Engineer designing, developing, and maintaining data infrastructure. Collaborating with Data Scientists and Analysts to ensure data availability, accuracy, and integrity within Causeway Technologies.
August 13
Parvana seeks a Data Analytics Engineer to develop ETL pipelines and ensure data quality. Strong PySpark, Python, SQL and Databricks skills required.
January 16
201 - 500
Join as a Data Engineer, leveraging skills in data engineering and pipeline management, fully remote.
The average salary for remote big data engineers in the United Kingdom is £0 per year. This is based on data from 1 job openings. Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate salary expectations.
Below is a breakdown of salary data by years of experience:
| Experience | Number of roles analyzed | Average Salary |
|---|---|---|
🟡 Mid-level Big Data Engineer (2-4 yrs) | 1 | £0 |
You need strong programming skills in languages like Python, Java, or Scala, proficiency in big data technologies such as Hadoop, Spark, and Kafka, and a solid understanding of data modeling, ETL processes, and distributed systems. Analytical skills and problem-solving abilities are also crucial.
Typically, a degree in computer science, information technology, or a related field is required. Relevant certifications in big data technologies or cloud platforms can enhance your profile. Practical experience and a strong portfolio of projects are often more valuable than formal education.
Responsibilities include designing and managing big data pipelines, optimizing data storage and retrieval processes, ensuring data quality and integrity, collaborating with data scientists and analysts, and generating actionable insights from large datasets.
Benefits include flexible working conditions, the ability to work from various locations, strong demand for skills leading to job security, and competitive salaries. Remote work also allows for greater flexibility in balancing personal and professional life.
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