2 of 2 Data Engineering Jobs in Ibstock

Join to apply for the Data Engineer role at Ibstock Plc Join to apply for the Data Engineer role at Ibstock Plc Direct message the job poster from Ibstock Plc Resourcing Business Partner @ Ibstock PLC WE ARE 200 years of history and over 2,300 employees strong. WE ARE a business loaded with opportunity and career progression. WE … leading for new, innovative and sustainable products and solutions, both for today and for a new era of building. To support our progress, we are currently recruiting for a Data Engineer (Databricks & BI) to come and join our team at Ibstock Head Office, LE67 6HS. (Applicants must have Right to work in the UK - We are unable to provide … sponsorship for this role) Job Purpose: The Data Engineer/BI Developer will play a critical role in developing and refining our modern data lakehouse platform, with a primary focus on Databricks for data engineering, transformation, and analytics. The role will involve designing, developing, and maintaining scalable data solutions to support business intelligence and reporting More ❯

Social network you want to login/join with: B-Stock is actively seeking a skilled Senior Data Engineering Developer to spearhead the design, development, scaling, and maintenance of our cutting-edge SaaS infrastructure. In this pivotal role, you will collaborate closely with cross-functional teams encompassing Data Science, Engineering, and Product/Business Technology. Your … primary mission will be to construct robust data infrastructure, establish streamlined processes, and enhance our toolset. ESSENTIAL JOB DUTIES AND RESPONSIBILITIES Pioneering the vision for Business Intelligence (BI) and Data Warehousing, steering the strategic plan to fruition. Assembling a high-caliber BI and Data Warehouse team, fostering their growth and skill development. Cultivating collaborative relationships with Product … Managers, Analysts, and Software Engineers to decipher data requirements and deliver impactful solutions. Architecting, constructing, overseeing, and optimizing foundational data infrastructure. Implementing a monitoring infrastructure to provide real-time insights into the status of our data pipelines. Implementing and supervising processes that enhance implemented solution performance. Optimizing schemas, including partitions, compression, and distribution, to balance costs and More ❯