including data integration, modelling, optimisation and data quality Exceptional understanding of Python Experience developing in the cloud (AWS preferred) Solid understanding of libraries like Pandas and NumPy Experience in data warehousing tools like Snowflake, Databricks, BigQuery Familiar with AWS Step Functions, Airflow, Dagster, or other workflow orchestration tools Commercial experience more »
working with large and complex data sets to extract insights and identify trends Advanced programming skills with Python, including experience with Jupyter notebooks, PyTest, Pandas, SciKit, PyTorch, type-checking, functional programming, CI/CD, and Git A borad background in machine learning for customer and marketing purposes around pricing, promotions more »
Science, Software Engineering or a related field. In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. Experience with Front End development using HTML, CSS, and JavaScript. Familiarity with database technologies such as SQL more »
a Server Side language with experience in web development frameworks like Angular. Understanding of in Python, with some experience of popular libraries such as Pandas and NumPy. Knowledge of design software like Adobe InDesign is beneficial Understanding of integration of many data sources into a single system. Ability to work more »
Saffron Walden, Essex, South East, United Kingdom Hybrid / WFH Options
EMBL-EBI
respective expertise and requirements. You have A BSc or MSc in computer science or related fields. Expertise in Python, including popular Python libraries: NumPy, Pandas, PySpark and frameworks: Django, Django Rest Framework, FastAPI Hands-on experience with both relational (e.g. PostgreSQL) and non-relational databases (e.g. Elasticsearch, Redis). Strong more »
England, United Kingdom (On-site) Key Skills and Experience 5+ years of professional full-stack development experience (Python, Angular) Experience with libraries such as Pandas, NumPy etc Good knowledge of database creation and manipulation in SQL. Excellent communication skills and be able to comfortably work with front office teams (Quants more »
algorithm development. Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization. Experience with quantitative libraries and frameworks such as NumPy, SciPy, pandas, TensorFlow, or PyTorch. Familiarity with financial markets, trading instruments, and market microstructure. more »
microstructure experience would be very beneficial. Proficiency in programming languages such as C++, Python or MATLAB along with experience in data analysis libraries (e.g., pandas, NumPy) and version control systems (e.g., Git). Familiarity with low-latency trading systems, high-performance computing, and algorithmic trading strategies. Strong academic background in more »
demonstrated by a history of identifying and implementing automation opportunities. Experience working with a variety of data storage and manipulation tools such as SQL, Pandas, Elasticsearch & Kibana, Snowflake. Ability to recognize patterns and establish standards to streamline development and enhance reliability. Excellent interpersonal skills, enabling positive and collaborative relationships with more »
bonds) and modern OIS/Libor techniques. Preferred experience in US Treasury and European government bond markets. Proficient in Python and data manipulation libraries (Pandas, NumPy, SciPy). Experience with Dash/Plotly or similar visualization software. Skilled in database programming (kdb, SQL) and MS Excel with real-time data. more »
candidate should have the majority of the following: Bachelor's degree in Computer Science, Engineering, or a related field. Strong Python development. Experience with Pandas is desirable. 3+ years of experience in data engineering. Experienced in building ETL data pipelines. Relational database experience w/PostgreSQL. Understanding of tech within more »
Have a Bachelor's or Master's degree in Computer Science or related field. 3+ years of data engineering experience with strong Python (including Pandas) skills. Strong proficiency in Object-Oriented Programming. Have strong problem-solving and communication skills. Experience working in Commodities, Trading or Financial Services markets. For more more »
on the core analytics and dependency graph services. Requirements Very Strong Python Experience (expected minimum 3+ Years) Strong Experience With Numerical Python (NumPy/Pandas) Experience with Distributed Systems Strong AWS experience (Lambdas ideally) STEM degree (preferred) On Offer Salary up to £90,000 Hybrid working arrangement bonus structure more »
field. • 5+ years of experience as a Data Engineer or in a similar role. • Strong proficiency in Python and experience with relevant libraries (e.g., pandas, numpy). • Extensive experience with ETL tools and processes. • Familiarity with data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake). • Proficient in SQL and more »
field. 8+ years of experience as a Data Engineer or in a similar role. Strong proficiency in Python and experience with relevant libraries (e.g., pandas, numpy). Extensive experience with ETL tools and processes. Familiarity with data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake). Proficient in SQL and more »
. Database querying, load, update, and transformation using SQL . Substantial experience with using Python to analyse data using standard analytical libraries such as Pandas and, ideally, with building web apps using Flask . Experience with modern data visualisation platforms , ideally Tableau. Track record of continuous learning and innovative thinking. more »
make a tangible impact in our organization. What experience you’ll need to apply: Solid Python skills with exposure to libraries such as NumPy, PANDAS, spaCy, HuggingFace. Exposure to SQL Experience working in start-up/scale up businesses or small teams. Data visualization experience with either Tableau, Looker or more »
