Job Description

: If you are passionate about playing a key role in the success of a company that is geared towards helping transform people's lives through technology, we want to hear from you! Our client is a well-established brand in the Busin : If you are passionate about playing a key role in the success of a company that is geared towards helping transform people's lives through technology, we want to hear from you! Our client is a well-established brand in the Business Consulting and Services industry and they are looking for a passionate and driven Manager, Data Engineering to join their team. This is an exciting opportunity to expand your skillset, and achieve job satisfaction and work-life balance. Our Purpose Place client value and human experience at the center of everything we do. Use AI and data to deliver material impact and drive disruptive transformation across public and private sectors. Maintain public trust in AI and data protection ensuring fairness, ethics, accountability, and transparency. Your Role: Lead design & delivery of Data pipelines to drive material impact and drive disruptive transformation across our clients in the public and private sectors. Build a world-class team with experts in Data engineering. Produce thought leadership for data engineering and scaling deployments. Develop and maintain relationships with a broad range of clients, colleagues, and partners across a variety of contexts and formats. Mentor junior members to help them build careers in Data Engineering. Invest continuously in building and extending your knowledge and skills. Your Profile: Bachelors Degree/Masters Degree in Computer Science/Data Analytics or a similar technical field. Minimum 7 years of designing, building, and operationalizing large-scale enterprise data solutions and applications (both with batch and streaming data). Experience using one or more of AWS / Azure / GCP data and analytics services in combination with custom solutions - Spark, Azure Data Lake, Databricks, Snowflake, HDInsights, SQL DW, DocumentDB, Glue, Athena, Elastic Pool, etc. Experience with Stream platforms and real-time aggregation platforms like Kafka, Kinesis, Spark, Flink, KSQL, etc. Experience with multiple data storage solutions for analytics, operational and archival purposes like MongoDB, Cassandra, HBase, Redis, PostgreSQL, MySQL, DB2, Neo4j, S3, etc. Experience with data transformation tools/platforms like dbt, Alteryx, Datameer, data form, Informatica, Talend, etc., and their data quality management features. Mastered at least one core language: Python, Scala, Java. Good exposure to concepts like Serverless computing, CI/CD, Containerization, Infrastructure as Code, code version control, and automated testing. Experience building historical and real-time operational feature layers to support AI/ML teams. Excellent understanding of the state of Data Engineering evolution in the industry through active tracks of improving knowledge and skills (e.g. courses, podcasts, books, experimentation, open source volunteering, tech meetups, etc.). Track record of delivering scalable Data pipeline services running in production. Strong ability to communicate with a broad range of clients, colleagues, and partners across a variety of contexts and formats. Strong ability to explain design decisions and provide alternatives supported by analysis like pro/con, past experiences, etc. Strong ability to develop and maintain relationships amongst clients, colleagues, and partners. Demonstrated capability to lead, inspire, coach, and mentor team members and colleagues. WHATS ON OFFER You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression. To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to (mailto:[HIDDEN TEXT]) . Your interest will be treated with strict confidentiality.