Reporting to: Data Solutions Manager
Mid Level
Data Solutions - Engineering
WHAT TO EXPECT DAY TO DAY
Our products rely on a large amount of data to empower the data analysis and machine learning applications at the core of our systems. Your software will store, process, visualize, and ultimately make sense of enormous amounts of data to implement innovative data products.
We’re looking for a passionate, bright, and driven data engineer who’s eager to bring our data-related technologies to the next level.
RESPONSIBILITIES
- Work closely with talented, knowledgeable data engineers and data scientists to identify the data-related needs of the company and participate in defining and executing the plan to fulfil them.
- Use the best, most modern tools and data technologies to build insightful, scalable and robust data solutions. And when they fall short of our needs you, we collaborate to build our own.
- Build innovative solutions to craft and improve datasets and pipelines to service a wide variety of use cases.
- Stay informed on new, relevant technologies and test the promising ones to make sure we don’t miss out on game-changing opportunities to boost our productivity and the enjoyment of our work.
- Excellent English language skills, spoken and written
YOU WILL NEED TO SUCCEED
- Passion about writing software and software engineering best practices
- Passion about creating intuitive data models
- Excellent programming skills in at least one of Java, Python or Scala
- Excited by solving the most challenging problems. Learn new concepts and skills rapidly and love to go in-depth.
- Be pragmatic. You aim for excellence but are not obsessive in your perfectionism, you understand that, when getting things done in a competitive world, speed is often as important as quality.
- Previous experience as a Data Engineer or Software Engineer
QUALIFICATIONS
- Master’s degree in Computer Science, Computer Engineering, or relevant field. PhD is a plus.
DESIRABLE
- Experience with Data Analytics & ML Platforms (e.g., Databricks, SageMaker)
- Experience with messaging and streaming platforms (Apache Pulsar, Kafka)
- Experience with engineering data pipelines using big data technologies (Hive, Presto, Airflow, Spark, etc...) with large scale data sets
- Conceptually familiar with AWS cloud resources (S3, EC2, etc)
- Familiarity with AI/ML projects lifecycle
OUR VALUES
- We work together - We know that working collaboratively will help us reach our shared goals faster, so we always look for ways to help each other.
- We believe in people - Here at Camlin, our people are central to what we do and what we can achieve. And as we move towards becoming industry and customer ‘partners’ that’s even more important. We trust our team members to do their best and be supportive.
- We will not accept the ‘way it’s always been done’ - Since Camlin’s inception, we have been curious, inquisitive and always want to improve. Thinking differently is in our DNA and we love solving tough challenges.
- We listen to learn - Whether it is our customers, our markets, or each other, we ask questions and listen to the answers so we can learn and improve.
- We are trying to do the right thing - We take responsibility for our actions and take decisions based on what’s right for people, profit and planet.
COMPANY DESCRIPTION
Camlin is a global technology leader that operates with the vision of bringing revolutionary products to life for a wide range of industries, including power and rail, and also has interests in a number of R&D projects in a variety of scientific sectors.
At Camlin we believe in high quality engineering and design, allowing us to develop market leading products and services. In short, we love creating value for our customers by solving difficult problems.
As of today, the Camlin operation spans over 20 countries across the globe.
BENEFITS
- Competitive Salary & Benefits
- Smart / Remote Working
- Wellness programmes
EQUAL OPPORTUNITIES STATEMENT
Individuals 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.
