Full-Time Junior Data Engineer

Job Description

One of our clients operates prominently in the financial sector, where we enhance operations across their extensive network of 150,000 workstations and support a workforce of 4,500 employees. As part of our commitment to optimizing data management strategies, we are migrating data warehouse (DWH) models into data products within the Data Integration Platform (DIP). 

Responsibilities: 

• Drive Data Efficiency: Create and maintain optimal data transformation pipelines. 

• Master Complex Data Handling: Work with large, complex financial data sets to generate outputs that meet functional and non-functional business requirements. 

• Lead Innovation and Process Optimization: Identify, design, and implement process improvements such as automating manual processes, optimizing data delivery, and re-designing infrastructure for higher scalability. 

• Architect Scalable Data Infrastructure: Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using open-source technologies. 

• Unlock Actionable Insights: Build/use analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. 

• Collaborate with Cross-Functional Teams: Work with stakeholders, including Senior Management, Departments Heads, Product, Data, and Design teams, to assist with data-related technical issues and support their data infrastructure needs. 

Must have: 

• 1+ years of experience in a similar role, preferably within Agile teams. 

• Skilled in SQL and relational databases for data manipulation. 

• Experience in building and optimizing Big Data pipelines and architectures. 

• Knowledge of Big Data tools such as Spark, and object-oriented programming in Java; experience with Spark using Python is a plus.  

• Proven experience in performing data analysis and root cause analysis on diverse datasets to identify opportunities for improvement. 

• Strong analytical skills in working with both structured and unstructured data. 

Nice to have: 

• Experience in engaging with customer stakeholders  

• Expertise in manipulating and processing large, disconnected datasets to extract actionable  

• Familiarity with innovative technologies in message queuing, stream processing, and scalable big data storage solutions  

• Technical skills in the following areas are a plus: Relational Databases (eg. Postgres), Big Data Tools: (eg. Databricks), and Workflow Management (eg. Airflow) 

• Experience with ETL processes, including scheduling and orchestration using tools like Apache Airflow (or similar). 

Enjoy our holistic benefits program that covers the four pillars that we believe come together to support our wellbeing, covering social, physical, emotional wellbeing, as well as work-life fusion.

• Physical: premium medical package for both our colleagues and their children, dental coverage up to a yearly amount, eyeglasses reimbursement every two years, voucher for sport equipment expenses, in-house personal trainer
• Emotional: individual therapy sessions with a certified psychotherapist, webinars on self-development topics
• Social: virtual activities, sports challenges, special occasions get-togethers
• Work-life fusion: yearly increase in days off, flexible working schedule, birthday, holiday and loyalty gifts for major milestones, work from home bonuses

What is the last date for applying to the job?

Which countries are accepted for this remote job?