PNC is looking for a Data Engineer who will be responsible for developing, supporting, and implementing data services for multiple applications to meet business objectives. The candidate will apply strong skills in Hadoop, Oracle, Python, Spark, SQL, and Pyspark. The position primarily requires presence in a PNC office, although some work can be performed remotely at the manager's discretion.
STRABAG AG is looking for an Azure Data Engineer (m/w/d) to analyze and utilize new data sources in the Corporate Data Lake within the Microsoft Azure Cloud, prepare and deliver data for data analysts and data scientists, and contribute to the development and operation of the multi-stage cloud platform for data science and data warehousing projects. The ideal candidate will have experience in data modeling, relevant data processing technologies like SQL and Python, and familiarity with technologies such as Spark and Databricks. Knowledge of CI/CD processes and Azure Synapse Analytics would be advantageous.
Client Server is looking for a Data Engineer (Python Spark ETL) to work in London with the flexibility to work from home. You will play a critical role in building a new Data Lake from scratch, managing data aggregation, storage, and analytical capabilities. Required skills include strong experience with Python, SQL, big data frameworks such as Spark, and familiarity with AWS data services.
Gravitas Recruitment Group Ltd is looking for a Data Engineer to design and build scalable data infrastructures within the rail infrastructure sector. Responsibilities include optimizing robust data pipelines, mentoring junior engineers, collaborating with data analysts, and ensuring the performance and security of data platforms. Required skills include experience with Python, SQL, and familiarity with cloud environments and tools like Airflow and Spark.
L’AGENT X is looking for a confirmed DATA ENGINEER to strengthen our DATA & IA team. The role involves designing, implementing, and optimizing models to store and process data, maintaining data quality, developing distributed data processing algorithms, and deploying data pipelines. Candidates should have at least 5 years of experience in critical environments and be proficient in Big Data tools such as DBT, Apache Hadoop, Spark, and have expertise in Snowflake.
TikTok Australia & New Zealand is looking for a Graduate Site Reliability Engineer to join our Technical Infrastructure team in Sydney. As a graduate, you will get unparalleled opportunities to kickstart your career, work on critical infrastructure systems across storage, computing, and databases, and apply your skills in coding, algorithms, and systems architecture. Your responsibilities will include ensuring performance and reliability of core infrastructure, troubleshooting technical issues, developing solutions for large-scale systems, and managing cost optimization.
Coders Connect is looking for a Lead Machine Learning Engineer to play a pivotal role, working closely with the AI Co-Founder and leading a small but talented team of ML Engineers. You will shape the AI/ML strategy, lead and mentor a team, and design production-grade machine learning solutions to solve complex business challenges. The ideal candidate has experience leading ML teams and a proven track record in deploying machine learning models.
Meritis, a consulting firm founded in 2007, is looking for an Expert Databricks. This role will involve high-value projects in data engineering, machine learning, and data governance. Candidates must have strong skills in Python or Scala, Spark, SQL, and experience in a cloud environment with Databricks.
Aptiv is looking for an Expert Data Scientist - Machine Learning. In this role, you will design and develop new technologies for data mining and big data, particularly aimed at advancing vehicle autonomy. You will define metrics to quantify the performance of the next generation of vehicle software systems and utilize these metrics for their improvement. Additionally, you will design cloud services and applications for big data storage, processing, and analysis while providing insights regarding required data for state-of-the-art machine learning solutions.
Xccelerated is looking for a Data Platform Engineer who is passionate about building modern data platforms and thrives in cloud-driven environments. You will design, implement, and optimize scalable data infrastructure while working on impactful projects involving the latest data technologies. Required skills include experience with cloud platforms such as Azure, AWS, GCP, and tools like Spark, Databricks, and Airflow. If you enjoy solving complex challenges and want to make a difference, join us!