Data Engineer - Public Sector

IBM Computing

London, England, United Kingdom

London, England, United Kingdom

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Über

Introduction At IBM CIC, we provide technical and industry expertise to a wide range of public and private sector clients in the UK. A career in IBM CIC means you'll have the opportunity to work with leading professionals across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. You will get the chance to deliver effective solutions, driving meaningful business change for our clients, using some of the latest technology platforms. Curiosity and a constant quest for knowledge serve as the foundation to success here. You'll be encouraged and supported to constantly reinvent yourself, focusing on skills in demand in an ever changing market. You'll be working with diverse teams, coming up with creative solutions which impact a wide network of clients, who may be at their site or one of our CIC or IBM locations. Our culture of evolution centres on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. We offer: Many training opportunities from classroom to e-learning, mentoring and coaching programs and the chance to gain industry recognised certifications Regular and frequent promotion opportunities to ensure you can drive and develop your career with us Feedback and checkpoints throughout the year Diversity & Inclusion as an essential and authentic component of our culture through our policies and process as well as our Employee Champion teams and support networks A culture where your ideas for growth and innovation are always welcome Internal recognition programs for peer-to-peer appreciation as well as from manager to employees Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme Your role and responsibilities
We are looking for a highly skilled Data Platforms Data Engineer to design and implement advanced data engineering solutions across complex environments. You will develop applications using Big Data technologies, building APIs and data pipelines that enable robust data integration and analytics. Your expertise in DataStage, Redshift, S3, and QuickSight will be essential for developing scalable data warehouses and dashboards. You will also apply your knowledge of analytics libraries, open-source Natural Language Processing, and statistical computing to enhance data insights. Working in an Agile environment, you will ensure data quality, security, and performance optimisation across all systems. This is a hands-on technical role requiring deep coding expertise and innovation in data platform engineering. Responsibilities
Design and develop data pipelines and APIs using Big Data technologies. Implement and optimise ETL processes for batch and real-time data flows. Develop data warehouse solutions using Redshift and DataStage. Build dashboards and analytical reports using QuickSight. Apply DevSecOps practices to automate and secure data workflows. Required technical and professional expertise
Strong proficiency in Java, SQL, and data pipeline development. Expertise in AWS data tools such as Redshift, S3, and QuickSight. Experience with DataStage or similar ETL frameworks. Knowledge of analytics libraries and open-source NLP tools. Familiarity with GitHub/GitLab and Agile development practices. Experience with data migration/ ETL both batch and real time, data warehouse development, DevSecOps, Java, sql, relational databases As an equal opportunities’ employer, we welcome applications from individuals of all backgrounds. However, for you to be eligible for this role, you must have the valid right to work in the UK. Unfortunately, we do not offer visa sponsorship and have no future plans to do so. You must be a resident in the UK and have been living continuously in the UK for the last 5 years. Preferred technical and professional experience
Experience with Python or Spark for data processing. Understanding of data security and compliance frameworks. Background in statistical computing or machine learning integration. Exposure to containerisation or CI/CD pipelines. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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London, England, United Kingdom

Sprachkenntnisse

English

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