Senior Data Engineer designing and improving software for business capabilities at Barclays. Collaborating with teams to build a data and intelligence platform for Equity Derivatives.
About the role
- Consultant driving IA business growth in Deloitte's Artificial Intelligence & Data team. Delivering innovative solutions using data analytics and automation technologies.
Responsibilities
- Drive the growth of our IA business in the region and be responsible for the creation, sale and delivery of IA solutions.
- Apply emerging technologies to help our clients maximize the value of their data by generating actionable insights that provide real business outcomes.
- Designing and implementing data structures to support Big Data, analytical models and traditional BI/DW reporting solutions using various technologies.
- Designing and developing data integration using Data Governance, Data Quality, MDM and Metadata management.
- Applying analytical models to predict business outcomes with tools such as DataRobot and languages like Python or R.
- Work as part of a collaborative team that provides our clients with solutions that are practical as well as visionary.
Requirements
- A good honors Degree, preferably at postgraduate level, in Computer Science, Software Engineering, Statistics, Mathematics or related disciplines.
- Experience in Big 4 or MNC Consulting firm or industry equivalent role.
- Minimum 2 years (Analyst) or 4 years (Consultant) of relevant experience.
- Strong experience in one or more of the following programming languages: Scala, Python, or R.
- Experience with one or more non-relational data stores such as Pivotal, Cloudera, Hortonworks, MapR, Oracle BDA.
- Experience with one or more relational data stores using SQL, Oracle DB, Microsoft SQL Server, IBM Netezza, Teradata or MySQL.
- Experience building data ingestion and transformation pipelines using Big Data technologies, including one or more of the following: Spark, Hive, Pig, Kafka, MapReduce, HBase, Sqoop, Flume or Storm.
- Experience in cloud Data Engineering.
- Experience working with Agile software engineering tools and applying Agile methodologies in a pragmatic manner.
- Experience working with Source Control Management tools such as Git, Subversion or Mercurial.
- General knowledge of Linux/Unix based operating systems and Shell scripting.
- Experience directly interfacing with business and IT stakeholders for clients.
- Excellent problem solving skills, ability to think out-of-the-box, work under pressure and tight project timelines.
- Drive, tenacity, client focused and results oriented.
- Excellent communication and presentation skills in English.
Benefits
- Professional development opportunities
- Flexible working arrangements
- Performance bonuses
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior AI & Data Engineer developing and implementing AI solutions in collaboration with clients and teams. Working on projects involving generative AI, predictive analytics, and data mastery.
Data Engineer responsible for managing data architecture and pipelines at Snappi, a neobank. Collaborating with teams to enable data processing and analysis in innovative banking solutions.
Data Engineer at Destinus developing the data platform to support production and analytics needs. Involves migrating Excel sources to Lakehouse and integrating ERP systems in a hybrid role.
Senior Data Engineer developing solutions within the Global Specialty portfolio at an insurance company. Engaging with diverse business partners to ensure high quality data reporting.
Data Engineer at UBDS Group focusing on designing and optimizing modern data platforms. Collaborating in a multidisciplinary team to develop reliable data assets for analytics and operational use cases.
Data Engineer (dbt) at SDG Group involved in all phases of data projects. Collaborate on data ingestion, transformation, and visualization in a hybrid environment.
Data Consultant at SDG Group specializing in Data & Analytics projects. Collaborate on technical - functional definitions, ETL, data modeling, and visualization for cloud solutions.
Senior Data Engineer responsible for growing customer - defined targeting calculations and developing key/value databases for real - time data processing.
Data Engineer developing and maintaining the Data Lakehouse platform using Microsoft Azure technology stack at RBC. Collaborating with business and technology teams to enhance data ingestion and modeling processes.