PpCamlin is a global technology leader with a bold vision: to bring revolutionary products to life across diverse industries like power and rail. Our passion extends to pioneering RD projects in various scientific sectors. /p pAt Camlin, we thrive on high-quality engineering and innovative design, crafting market-leading products and services. Simply put, we love creating value for our customers by tackling the toughest challenges. Today, Camlin’s influence spans over 20 countries worldwide. /p pAs a Data Engineer at Camlin, you’ll be at the forefront of energy innovation through data. You’ll collaborate with a dynamic team of data engineers, machine learning experts, and data scientists, playing a crucial role in identifying our organisation’s data needs and driving strategic plans to meet them. /p pYour role will encompass a wide array of exciting tasks, from architecting software solutions and designing data models to implementing cutting‑edge data science and machine learning algorithms. You’ll enhance our tools and applications by proactively addressing bugs, refactoring code, and ensuring top‑tier quality. /p pWe’re on the lookout for talented individuals with varying levels of experience, from mid‑level to senior positions. Join us and be part of a team that’s shaping the future! /p h3Key Responsibilities: /h3 ul liCollaborate with cross‑functional teams to identify and address data‑related requirements, contributing to strategic planning and execution. /li liArchitect and develop data solutions, spanning from backend infrastructure to data model design and the implementation of AI systems. /li liLead development activities, mentor team members and share your knowledge in a context of continuous improvement. /li liContinuously enhance the quality of our tools and applications through bug fixes and code refactoring. /li liLeverage the latest data technologies and programming languages, including Python, Scala, and Java, along with systems like Spark, Kafka, and Airflow, within cloud services such as AWS. /li liEnsure the ongoing maintenance, troubleshooting, optimization, and reliability of data systems, including timely resolution of unexpected issues. /li liStay abreast of emerging technologies through research and testing, unlocking opportunities for productivity improvements and ensuring our market‑leading services for customers. /li /ul h3What You’ll Need: /h3 ul liBachelor’s or Master’s degree in Computer Science, Engineering, or a related field. /li liProficiency in programming languages such as Python, Scala or Java. /li liSQL knowledge for database querying and management. /li liStrong knowledge of relational and NoSQL databases (e.g., PostgreSQL, MongoDB) and data modeling principles. /li liProven ability to design, build, and maintain scalable data pipelines and workflows using tools like Apache Airflow or similar. /li liStrong problem‑solving and analytical skills. /li liExcellent communication and collaboration skills. /li /ul h3Nice to have: /h3 ul liHands‑on experience with data warehouse and lakehouse architectures (e.g., Databricks, Snowflake, or similar). /li liExperience with big data frameworks (e.g., Apache Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, or GCP). /li libDaily food vouchers: /b for days worked in person in the premises. /li libTraining Support: /b We offer financial assistance for your training and development, based on company discretion. We also have an internal training platform to support your professional and personal development. /li libDiscounted Gym Membership: /b Stay fit with our discounted gym membership program. /li libWellness Programs: /b We prioritise your well‑being through our wellness initiatives. /li libInternal Reward Recognition Tool Kudos: /b This streamlines and automates the process of acknowledging and appreciating employees and helps contribute to our positive workplace culture. /li /ul h3Our Values /h3 ul liWe work together /li liWe believe in people /li liWe won’t accept the ‘way it’s always been done’ /li liWe listen to learn /li liWe’re trying to do the right thing /li /ul h3EQUAL EMPLOYMENT OPPORTUNITY STATEMENT /h3 pIndividuals seeking employment at Camlin are considered without regards to race, colour, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, gender identity, or sexual orientation. /p /p #J-18808-Ljbffr