<2 years

3 - 5 years

5 - 7 years

8+ years

Wroclaw

Opole

Poznan

Warsaw

Frontend

Backend

Fullstack

Testing

Big Data

Mobile

AI, ML, Computer Vision

Embedded Systems

DevOps

Project Management

Consulting

Others

Remote

Hybrid

On-site

Experience in a data architecture or data-driven role in the financial industry(as an external consultant or internal expert)

Deep knowledge of the Microsoft Azure data stack (e.g. Azure Databricks, Delta Lake, Azure Data Factory, Azure Storage, Azure SQL Database, Azure Overview) and integration standards

BSc or MSc degree (preferably in Mathematics, Computer Science, Economics, Physics, Business Research, or a related field)

Knowledge of data analysis tools and techniques(SQL, Python, PySpark)

Knowledge of tools and programming languages used to analyze large datasets in the Hadoop ecosystem (Spark, Hive, Pig)

Experience in creating data pipelines to integrate different applications and systems (ETL)

Eagerness to learn new tools and software solutions

Excellent knowledge of the English language

Strong interpersonal and communication skills – essential for working with clients and teams on a daily basis

Ability to design and model data structures to effectively support complex systems

Experience in creating real-time/streaming data pipelines

Experience developing using agile methodologies such as Scrum and Kanban

Interest in artificial intelligence and data science

As a Senior Azure Data Architect - Senior Azure Data Engineer, you will be responsible for building a modern data platform and designing, developing, implementing, and maintaining a scalable production-level data transformation path.

You will be required to learning-depth about the solution architecture, data architecture, data management, storage, data governance, and data publishing. All of this is packaged in a fully automated DevOps pipeline.

Design, develop, and maintain data solutions on the Azure platform

Develop and maintain ETL pipelines using Azure Data Factory, Azure Databricks, and other Azure services

Develop and maintain data processing solutions using Azure Stream Analytics, Azure Event Hubs, and other Azure services

Develop and maintain data warehousing solutions using Azure Synapse Analytics and Azure SQL Data Warehouse

Develop and maintain data visualization solutions using Power BI and other Azure services

Collaborate with data science and software development teams to ensure that our data solutions meet the business requirements

Develop and maintain documentation for data solutions

Optimize data solutions for performance and scalability

Implement data security and privacy measures to ensure compliance with regulations

Monitor data solutions for issues and provide solutions

Senior Azure Data Engineer

Experience working with: PostgreSQL, Oracle, SQL Server, AWS

Experience with source control approach for database

Can-do attitude and problem-solving skills

Seeking a talented Database Developer to join our team. You will be responsible for designing, implementing, and maintaining databases for our various applications. As a database developer, you'll get the opportunity to design, develop and maintain databases that power our high-performance systems. We're looking for someone who's enthusiastic about solving complex problems, has a strong grasp of database technologies, and is motivated to create scalable, efficient, and reliable solutions. If you're passionate about data and want to work in a dynamic, fast-paced environment, then we want to hear from you! Apply today and join our team of outstanding developers.

Supporting databases (PostgreSQL and Redshift) with existing and new functionality

Supervise data-driven strategy for the project

Communication and cooperation with other teams

Database Developer (AWS, PostgreSQL, Oracle, SQL Serve)

At least Bachelor degree (IT field of study)

5 year(s) of experience in DataOps Engineering or DBA

English – good written and verbal as we work with international teams on daily basis

Mandatory technologies: Mongo DB and SQL (Relation) DB

Proven track record of success in at least some of the following areas:

Python and experience with data extraction, data cleansing and data wrangling;

SQL and experience with relational databases;

Codification of business rules (analytics) in one of the programming languages listed above;

Data modeling, data mapping, data governance and the processes and technologies commonly used in this space;

Data integration tools (e.g. Talend, SnapLogic, Informatica) and data warehousing / data lake tools;

API based data acquisition and management

Previous experience working in an Operations/SRE team

Knowledge or Experience with Azure DevOps

Security : Encryption; Network security; Network topology

Experience with monitoring solutions via DataDog

We are seeking a Senior Site Reliability Engineer to join our dynamic team and play a pivotal role in ensuring the reliability, availability, and performance of our mission-critical systems. In this role, you will lead efforts to design and implement robust infrastructure, automate operations, and proactively address performance and scalability challenges. Our project is driven by a commitment to delivering top-tier digital experiences to our customers, and as a Senior SRE, you will be at the forefront of ensuring our services are highly available, resilient, and able to scale with our growing demands. Join us in shaping the future of our technology landscape and be part of a team that values innovation, collaboration, and continuous improvement.

Maintain data within a warehouse environment supporting delivery of quality data outputs.

Administer, Configure, Patch, Upgrade,etc - Relational SQL, distributed SQL and NoSQL databases including, but not limited to, MSSQL, PostgreSQL, MySQL, MemSQL, CrateDB, MongoDB, Cassandra, Neo4j, AllegroGraph, ArangoDB, Cosmos, etc.;

Maintain a platform performing regular tasks such as user management and audit, resource utilization, alerts monitoring.

Modify existing ETL processes in order to achieve automation where possible and to accommodate changes in the data structure.

Have a good understanding of data platform best practices to achieve economies of scale, cost reduction and efficiencies.

Excellent knowledge to manage Database performance tuning, backup and recovery methods.

Migration of databases from legacy systems to cloud data platforms.

Site Reliability Engineer

minimum of 4-year experience on web application development

backend: Java 7 (or higher), Spring Boot, API REST, Maven or Gradle

frontend: JavaScript, Angular, CSS, CSS3, HTML,

version control and continuous delivery integration tools (Jenkins, GIT, GitLab, Jira)

experience with IDSS (IntelliJ, NetBeans, etc.)

experience on distributed/concurrent (threads) environments

As a full-stack Java developer in BCF, you will be responsible for all three layers of a web-based application: the front-end, the back-end and the database layer. If you feel it, don't waste your time just apply!

frontend involves designing elements that appear to users as they interact with the application

backend refers to the data that supports an application's visible elements

the database layer functions as storage and helps the application recall data within the other two layer

research and recommend cutting-edge technologies and development techniques

ensure high-quality software releases, trouleshoot and resolve technical issues

work proactively and collaboratively with other development teams

FULLSTACK DEVELOPER JAVA + ANGULAR

Experience in the following tools: Informatica PowerCenter, SAP BODS, and SAP BW.

ETL processes development skills (based on multiple data sources).

Ability to understand business requirements.

Ability to work within US work-hours overlap: 2-6 pm CET

We are looking for an experienced professional for designing and building complex ETL solutions in Informatica Power Center, SAP BODS, and SAP BW.

ETL Developer

At least 5 years of relevant commercial experience,

Commercial experience with Relational Database Management Systems (e.g., Oracle, MS SQL Server and others),

Data Modeling and knowledge of designing tools, such as PowerDesigner or similar,

Strong analytical thinking and experience with SAS or Business Intelligence tools will be a plus.

Designing data warehouses architecture for leading insurance companies. Providing data quality by consulting and supporting the clients projects.

Data Architect

Mandate to have experience with BI tools and systems. Power BI expertise is a must, others like Tableau, and SAP are not required, but an advantage.

Must have 2-3 years of experience in data-specific roles.

Should possess software development skills


Building Analysis Services reporting models.

Developing visual reports, KPI scorecards, and dashboards using Power BI desktop.

Connecting data sources, importing data, and transforming data for Business intelligence.

Analytical thinking for translating data into informative reports and visuals.

Capable of implementing row-level security on data along with an understanding of application security layer models in Power BI.

Should have an edge over making DAX queries in Power BI desktop.

Expert in using advanced-level calculations on the data set.

Responsible for design methodology and project documentaries.

Should be able to develop tabular and multidimensional models that are compatible with data warehouse standards.

Very good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams.

As a BCF Group, we are searching for new Data Engineers, who could join our team. Are you interested in BI tools? This role is for you!

Data Engineer

7+ years overall experience with proven Azure experience of at least 3 years.

Knowledge and experience in Azure AI, specifically Azure cognitive services required.

Basic knowledge of the Machine Learning model lifecycle is needed to deal with use cases involving custom models.

Proven knowledge of Azure Security and Networking concepts like RBAC, Azure private to Azure public connections, Firewalls, etc.

Experience with coaching and leading a team of junior associates.

Sound knowledge of CI/CD using Azure DevOps.

Experience with managing internal and external stakeholders, and Working with cross-domain teams.

Very good communication, and presentation skills.

Focus on improving processes and provide ideas for automating mundane tasks.

We want to Build and support Data Science Exploration and Production  Platforms in the cloud, providing the latest Advanced Analytics and  Machine Learning capabilities.

Designing new solutions enabling the processing of data.

Infrastructure automation using CI/CD principles and Infrastructure as Code.

Integrating various tools and technologies in the DevOps toolchain, to accelerate  Data Science teams’ use cases from development to real-world applications.

Azure Platform Engineer (AI)

minimum of 3-year experience on software development

ability to design and provide solutions for external integrations

experience with some of the following technologies and tools: JEE, JPA, Hibernate, Spring Framework, Maven, Gradle

real time knowledge and understanding on enterprise system integration

If you are Java Developer or you have proven experience in developing this area, this is a perfect opportunity for you. You will be responsible for several Java-related duties throughout the software development lifecycle, from concept and design to testing. This role includes the creation of user information solutions through the development, implementation, and maintenance of Java-based components and interfaces. Apply now and make your mark on the software industry today!

development and maintenance of software applications

development and integration of technological Components

assistance with deployment and configuration of the system

JAVA DEVELOPER

experience in SAAS software for large enterprises, distributed systems, scalability and improvement

6-9 years of experience OR Master's degree and 4-7 years of experience

high-level skillset in basic programming languages (Python, Django)

experience with distributed systems and inter-service communication

working with protocols and APIs such as REST and NSQ

experience with relational databases and SQL

knowledge of JavaScript (Vue.js)

Nice to have: 

Deployment to public cloud services (AWS, GCP, etc.)

Experience in functional/acceptance testing

Containerization (Docker/Kubernetes) experience

Deep understanding of distributed systems and building scalable/redundant systems

Experience in service monitoring, metrics, alerts, log collection, and tracking

The project transforms the mortgage industry by automating and streamlining the mortgage transaction lifecycle through data science and machine learning. Lenders and other mortgage stakeholders are confident they can optimize performance, increase loan profitability, and gain actionable insights by automating manual workflows with our next-generation BI analytics layer.

ensure the quality of the delivered feature

generate ideas for innovative technical solutions

diagnose and solve technical problems, create unit tests and automation

provide vision and direction for software development best practices and methodology

review code using best practices and the latest technology to help ensure technical excellence

SENIOR PYTHON DEVELOPER

Extensive experience as a Linux Administrator in a senior or lead role

Strong knowledge of Linux operating systems and their internals

Proficiency in scripting languages such as Shell, Bash, or Python

Expertise in managing and configuring servers (e.g., Apache, Nginx)

Deep understanding of networking protocols and technologies (TCP/IP, DNS, DHCP)

Proven experience with virtualization and containerization technologies (e.g., VMware, Docker)

Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and infrastructure-as-code tools (e.g., Terraform, Ansible)

Strong understanding of cybersecurity principles and best practices

Excellent problem-solving and analytical skills

Effective communication and leadership abilities

We are currently seeking a highly skilled and experienced Senior Linux Administrator to join our esteemed organization. As a Senior Linux Administrator, you will play a pivotal role in managing our Linux-based infrastructure and ensuring its optimal performance and security. If you have a deep understanding of Linux systems, extensive hands-on experience, and a passion for staying at the forefront of technology, we want to hear from you!

Designing, implementing, and managing Linux-based systems and networks

Overseeing server infrastructure and ensuring high availability and scalability

Performing system upgrades, installations, and configurations

Troubleshooting and resolving complex technical issues

Conducting performance tuning and optimization activities

Implementing robust security measures and ensuring compliance with industry standards

Mentoring and providing guidance to junior members of the team

Collaborating with cross-functional teams to support various projects

Senior Linux Administrator

Extensive knowledge and experience in statistical and data mining techniques (e.g.such asGLM/Regression, Random Forest, Boosting, Trees, Text Mining, Social Network Analysis

Experience with distributed data/computing tools, e.g.Map/Reduce, Hadoop, Hive, Spark

Strong knowledge of agile working practices based on previous experience, e.g.SCRUM, SAFe

Familiarity with MongoDB and other NoSQL databases

Experience with agile methodologies, including working with management tools(Azure DevOps, Jira, etc.)

Experience with CICD pipelines. For example, Azure DevOps pipeline, Gitlab, Jenkins, etc.

Ability to analyze functionality in real-time with all necessary interventions

As a SQL Developer, you will be responsible for designing, developing, and maintaining our database systems. You will work closely with our software development team to ensure that the data requirements for our applications are met. Your main goal will be to optimize database performance and ensure data security.

Designing and developing complex SQL queries, stored procedures, views, and other database objects to meet business requirements

Managing databases, including installation, configuration, backup, and recovery

Collaborating with cross-functional teams to define and implement data architecture and design

Developing data migration strategies and executing data migrations

Ensuring the performance, security, and scalability of the database systems

Monitoring and optimizing database performance using tools like SQL Server Profiler, Performance Monitor, and other tuning techniques

Developing and maintaining database documentation, including data dictionaries, schema diagrams, and entity-relationship diagrams

Developing and maintaining scripts for automating database-related tasks

Troubleshooting and resolving database-related issues

Company

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