Microsoft Fabric Data Engineer

My responsibilities:

The BI Developer (Backend) at ALDI designs, builds, and maintains robust, scalable data pipelines and backend analytics components that transform raw data into trusted, well-modelled, and high-quality datasets. Enables downstream reporting, dashboards, and analytical use cases by partnering with product teams, data owners, and stakeholders to ensure accurate, performant, and well-documented data products.

Key responsibilities:

• Build and maintain data pipelines (batch/near-real-time) to support reporting and analytics
• Develop and optimise ETL (Extract Transform Load) jobs and data transformations
• Model data for analytics (e.g., dimensional/relational models) and support consistent metrics definitions
• Develop and maintain reporting assets (dashboards, scheduled reports, KPI definitions)
• Write production-quality SQL and implement performance improvements (query tuning, indexing/partitioning strategies where applicable)
• Ensure data quality through validation checks, anomaly detection (as applicable), and reconciliations
• Provide monitoring, alerting, and troubleshooting for pipeline/report failures
• Document datasets, transformations, metric logic, data lineage, and known limitations
• Support governance needs: permissions, dataset certification workflows (if applicable), and auditability

The knowledge I own:

• Strong SQL (joins/aggregations/window functions, data integrity and performance awareness)
• Experience building data pipelines using ETL patterns (or equivalent orchestration)
• Proficiency with Python or R
• Familiarity with cloud based data solutions (Databricks, Snowflake, etc.)
• Hands-on experience with CI/CD concepts and automated deployment workflows
• Understanding of data quality principles and how to implement validation (row counts, referential integrity, range checks, reconciliation)
• Production engineering mindset: monitoring, incident response, and maintainable code/process
• Analytical and structured approach to work
• Passion for delivering high-quality user experiences
• Ability to work independently while being a strong team player
• Fluent in English (written and spoken)
• Understanding of Agile practices and iterative development processes is a plus
• Basic statistical thinking for validating results (e.g., distribution checks, sanity checks, trend validation) is advantageous

Company Description
Hiflylabs is a Budapest-based company. We have 250+ employees at this moment and we are constantly thriving. Our application development team and business intelligence experts work to provide effective solutions to business problems.

Our professional team has proved its expertise through 10 years of experience, participating in multiple Business Intelligence projects - both Hungarian and international - in various industries, such as the financial, telecommunication and energy sectors.

We deliver a wide portfolio of innovative business solutions that include Data Warehouses, Business Intelligence, Data Analytics. In the last few years we have acquired a high level of competence in Application Development.

Hiflylabs is committed to innovation, and encourages the realization of innovative initiatives in the form of independent startups.

Get an insight on how we work and check out our Website, LinkedIn page and YouTube channel!
Responsibilities
Job Description

Data Solution Design and Development:

• Design, develop, and implement complex and scalable data solutions on the AWS cloud platform.
• Design, build, and optimize data pipelines to ensure efficiency and reliability.

Programming & Scripting:

• Write clean, efficient, and maintainable SQL and Python code.
• Develop and maintain shell scripts to support automation.

DevOps & Automation:

• Utilize Docker containers for containerizing applications and data pipelines.
• Establish and maintain CI/CD pipelines (e.g., GitHub Actions, GitLab CI/CD) for rapid and reliable deployments.
• Automate data pipeline processes.

Cloud Data Services:

• Deliver solutions on AWS data services (e.g., S3, Redshift, Glue, EMR, Lambda).
• Design and implement data modeling and data warehousing solutions.

Project and Team Management:

• Own and manage the technical aspects of deliveries (at least at the component level).
• Participate in project planning, task estimation, testing, and liaising with business stakeholders.
• Provide technical leadership to smaller teams.
• Create technical documentation.

Qualifications

Requirements
Programming & Scripting

• Must have Proficiency in both SQL and at least one imperative programming language, particularly in Python, emphasizing clean, efficient, and maintainable code.
• Experience with shell scripting.

Devops & Automation:

• Familiarity with Docker and at least one CI/CD tool (e.g., Github Actions, GitLab CI/CD) to streamline deployment and manage data pipelines.

Cloud Data Services

• A minimum of 5 years of hands-on experience in data engineering, with a strong focus on cloud-based solutions.
• Has delivered at least one complex and scalable data solution on at least one cloud platform’s data services (Primary AWS data engineering skills required, GCP/Azure experience beneficial.)
• Experience in working with dbt or SQLMesh is a plus.

Soft And Other Skills

• Strong team player with a proactive mindset, eager to take on challenges and drive solutions.
• Great problem-solving skills, analytical thinking, and a structured approach to decision-making.
• Excellent written and verbal communication skills in English

Additional Information

Why us?

• Diverse projects: In each assignment there is always something new either on the technical or on the business side that helps you grow.
• Cutting edge technology: We work with many of the most up-to-date technologies and tools.
• Strong and motivating team: We stress the importance of working together in tight-knit, cohesive teams in which members help each other to reach the common goal.
• Work-life balance: We help you to feel good individually as well, and coordinate work so as it should align with your leisure activities.
• Professional development: There are team gatherings on a regular schedule where colleagues can share their knowledge, and have deep technical discussions.
• Focus on company culture: In addition to our business and professional achievements we are proud of the social bonding in the company, which is based on mutual respect and helping one another.
• Personal mentoring: You will have your own mentor (just like everybody at Hiflylabs) who you can turn to with professional issues as well as with personal ones.

Join a Global Leader in Financial Services: Morgan Stanley
Morgan Stanley is a leading global financial services firm that has been a driving force in the industry for 90 years. With a strong reputation for innovation, integrity, and teamwork, we are committed to delivering exceptional results to our clients and shareholders. Our people are our greatest asset, and we are dedicated to fostering a culture of collaboration, creativity, and excellence.

Role Overview
This role focuses on supporting Trading Risk Management by delivering accurate and timely data. Responsibilities include designing, implementing and maintaining reporting solutions, ensuring high data quality and enabling fast access to key metrics. The role also involves aggregating data from multiple sources, validating and creating tools to distribute insights across the organization. Additionally, it contributes to the continuous improvement of data processes and supports the development of scalable, efficient reporting workflows. The role plays key part in ensuring the stakeholders can make informed decisions based on reliable and well-structured information.

Key Responsibilities

• Write, test, and maintain KDB+/Q code for data ingestion, transformation and querying
• Design checks, validation rules and monitoring tools that ensure accuracy across historical and intraday datasets
• Build components that power internal reports and analytics dashboards, with focus on consistency and reliability
• Optimize queries, schemas and processes to improve retrieval speed and system performance
• Work with data analysts, risk managers and other engineers to understand reporting needs and translate them into robust workflows
• Contribute to daily operations, troubleshoot issues, and support ongoing improvements to the data systems

Requirements

• Degree in Computer Science, Math, Engineering, Physics or another quantitative field
• Strong knowledge of Python, C++ or Java, familiarity with KDB+/Q is a plus but can be developed on the job
• Solid problem solving & math foundations
• Able to investigate data issues, reason about system behaviour, and propose technical solutions
• High resilience to work at the forefront of business decision-making
• Clear communication in English and the ability to collaborate with colleagues who rely on accurate and timely reporting
• Minimum 3 years of professional experience in a data focused or backend engineering role

BPMM

What You Can Expect From Morgan Stanley
At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about\-us/global\-offices into your browser.

Certified Persons Regulatory Requirements
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people\-opportunities/eeo.

Job Description
What you will do
At Johnson Controls, we’re shaping the future to create a world that’s safe, comfortable, and sustainable. Our global team creates innovative, integrated solutions to make cities more connected and buildings more intelligent. We are passionate about improving the way the world lives, works and plays. The future requires bold ideas, an entrepreneurial mindset, and collaboration across boundaries.

How You Will Do It

• Facilitate to manage development and delivery of technical communications within the assigned knowledge management system.
• Utilize the accumulation of information by external and internal end-user communities as well as forums.
• Pair with Subject Matter Expert to create and evaluate data driven solutions.
• Track success of data driven solutions using attribution methodologies

Required
What we look for

• Bachelor's or master’s degree in computer science, Statistics, Mathematics, or related field.
• Over 8 years of experience in a data science or analytics role, with a proven track record of delivering impactful insights, products, and solutions.
• Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn).
• Strong understanding of machine learning techniques and algorithms, such as regression, classification, clustering, and deep learning.
• Experience with data visualization tools (e.g., matplotlib, seaborn, Tableau) and SQL databases.
• Excellent problem-solving skills and attention to detail, with the ability to work independently and collaboratively in a fast-paced environment.
• Strong communication and interpersonal skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.
• Experience with distributed data/computing tools: Snowflake, Spark, MySQL, etc.
• Experience in Azure and Azure ML is a must
• Experience with data engineering tasks such as data pipeline development, data warehousing, or data integration.
• Proficiency in version control systems (e.g., Git) and collaboration tools (e.g., JIRA, Confluence).
• Understanding of ethical considerations and best practices in data science, including privacy, bias, and fairness.
• Demonstrated experience working with multiple specialties in a "one-team" environment.
• Experience across a variety of technical disciplines.
• Excellent oral, written, and interpersonal communication skills.

Preferred

• Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP).
• Knowledge of natural language processing (NLP) techniques and tools.
• Experience with A/B testing methodologies and experimental design.
• Publications or presentations in relevant conferences or journals.
• Certifications in data science or related fields (e.g., AWS Certified Machine Learning Specialty, Google Professional Data Engineer).

Our Salary And Benefits
The final package will reflect your experience, skills, and qualifications relevant to the role. We are committed to fair, equitable, and gender-neutral pay practices.

About Us
Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education.

For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward.

We are committed to diversity and inclusion and believe that different perspectives make us stronger. By encouraging open dialogue and valuing individuality, we strive to be one of the most desirable places to work.