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Remotemöjlighet - Data Engineer till bolag inom FinTech
Friday Väst AB•Göteborg
Vill du vara med och bygga moderna, affärskritiska datalösningar? Vi söker nu en Data Engineer som vill ta en central roll i utvecklingen av vår kunds dataplattform. Här får du arbeta med avancerad SQL, dbt och robusta ETL-flöden samtidigt som du bidrar till en spännande AI-satsning som lyfter både effektivitet och datakvalitet. Välkommen in till din ansökan!Om tjänsten I rollen som Data Engineer hos vår kund kommer du att arbeta med att utveckla och optimera affärskritiska SQL-queries samt bygga och vidareutveckla dbt-modeller. Du får möjlighet att: Designa datamodeller för både historisk och aktuell data Implementera och optimera schemalagda jobb i Airflow Arbeta med releaser, migreringar och rollback-skript Felsöka dataproblem och genomföra root cause analysis Samarbeta nära verksamheten för att omvandla affärskrav till tekniska lösningar Utveckla och implementera ETL-processer från skandinaviska dataleverantörer Du får en central roll i att säkerställa att företagets datalösningar är tillförlitliga, effektiva och håller hög kvalitet. Vi söker dig som harMycket goda kunskaper i SQL Minst en högskoleutbildning inom relevant område Praktisk erfarenhet av dbt God förståelse för datamodellering Erfarenhet av Git Stark problemlösningsförmåga och analytiskt tänkande Mycket goda kunskaper i Python Erfarenhet av release- och versionshantering i databasmiljö Kunskap om kodkvalitetsverktyg som SQLFluff och Ruff Flytande svenska och engelska i tal och skrift MeriterandeFördjupad kunskap inom AWS (S3, Glue, IAM, VPC) Avancerad användning av dbt (macros, custom tests, packages) Erfarenhet av prestandaoptimering för stora datamängder Erfarenhet från kredit-, risk- eller inkassobranschen Vana att arbeta med Cursor Erfarenhet av XSLT-stylesheets Erfarenhet av jq Erfarenhet av Apache Airflow Erfarenhet av Amazon Redshift Vår kund satsar just nu stort på AI för att effektivisera arbetet och förbättra datakvaliteten. Har du erfarenhet av – eller ett starkt intresse för – AI inom databashantering och dataanalys är det ett plus. Om anställningenFör denna tjänst bli du direktanställd av kundbolaget. VillkorOmfattning: Heltid Start: Enligt överenskommelse Placering: Göteborg. Om du jobbar remote, förväntas du resa några få gånger till Göteborg per år. Rekryteringsansvarig: Stina Högström Lön: Marknadsmässig månadslön Ansök genom att klicka på länken nedan. Kom ihåg att vara snabb med din ansökan då vi gör löpande urval av kandidater och att annonsen kan stängas ner innan tjänsten är tillsatt om vi gått över till urvals och intervjufasen. Om friday: På Friday brinner vi för att ge dig som Tech-talang en riktigt bra start på karriären. Genom att lyssna på vad just du vill och drivs av, matchar vi dig med företag och möjligheter som får dig att se fram emot att gå till jobbet. Vi värderar ambition och potential högt och arbetar aktivt för en fördomsfri rekrytering, där alla ges samma chans att lyckas. Vi finns i Stockholm, Göteborg, Malmö, Linköping och Örebro. Varje år genomför vi över 5 000 karriärmöten och matchar kandidater med allt från globala företag till innovativa startups. Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.
HeltidSista ansökan: 31 aug.Publicerad: 31 juli
SQLdbtPython
Senior Data Engineer
Apadmi•Salford Quays
We’re looking for a Senior Data Engineer to join Apadmi and establish a high-performing data engineering capability for one of our key strategic healthcare accounts. In this senior, hands-on role, you will provide technical leadership across a specialist team of engineers working with cloud-based data infrastructure, business intelligence tooling, and client-facing analytics products. This is the perfect opportunity for someone technically deep who has the patience, credibility, and leadership skills to embed modern engineering discipline into a growing data function. You will sit at the intersection of technology delivery and data engineering, owning the data platform roadmap and governing the quality of all data outputs. Operating as an agile team leader, you will collaborate closely with operational, clinical, and commercial stakeholders to ensure the delivery of trusted, scalable, and beautifully documented data products. You'll be responsible for bringing software engineering rigour to a team expanding its technical maturity, establishing the right ways of working from the outset. As a Senior Data Engineer, you will define and own the data platform architecture while establishing team-wide standards across source control, environment management, peer reviews, and release processes. You will blend high-level strategy with hands-on automation, ensuring data quality checks are built-in from day one. Additionally, you will guide your squad through Agile sprint ceremonies and line-manage engineers to foster a culture of quality. What you'll be working on * Define and own the technical architecture of the cloud data platform, ingestion pipelines, and semantic reporting layer. * Establish and enforce core engineering standards, including Git-based source control, branching strategies, environment management, and peer code reviews. * Design scalable, maintainable data models and pipeline architectures that shift the function from reactive data handling to reusable data products. * Line-manage and mentor a team of three engineers, supporting their professional development in modern engineering discipline through collaborative working. * Drive the adoption of Agile methodologies, including sprint planning, stand-ups, retrospectives, and structured backlog refinement. * Proactively automate recurring workflows, forecasting processes, and ingestion monitoring to reduce manual effort and increase reliability. * Embed strict data quality checks at the point of ingestion and establish data dictionaries to secure strict metric governance before data reaches external audiences. * Translate complex business requirements into deliverable user stories, providing accurate effort estimates and managing technical dependencies. What you’ll bring to the team You are a solution-driven data leader who has spent time working within or alongside structured software development teams. You understand the rigour of technology delivery functions and possess a low tolerance for ambiguous data definitions. You are highly collaborative, capable of managing complex roadmaps, and excel at translating technical trade-offs into clear insights for non-technical stakeholders. * Proven experience in a senior data engineering or tech lead role with direct line management responsibility. * Strong hands-on experience with cloud data platforms, ideally utilizing Azure Data Factory, Azure SQL, or Synapse Analytics. * Demonstrable experience implementing CI/CD pipelines, automated testing, environment management, and Git practices within a data team. * Deep understanding of fact/dimension design, semantic layers, and advanced BI tool development (ideally Power BI and DAX). * Solid coding or scripting experience (ideally Python) used to automate data workflows and solve complex pipeline challenges. * Track record of introducing and sustaining agile delivery practices, backlog management, and iterative delivery metrics. * Exceptional communication skills to engage credibly with senior operational, clinical, and commercial business leaders. * Experience establishing data functions from a low baseline, familiarity with dbt, or experience working within highly regulated data environments like healthcare would be beneficial.
Sista ansökan: 16 aug.Publicerad: 17 juli
DataBiSource control
Staff Data Platform Engineer
Honor Technology•Remote Position
Honor Technology’s mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor’s growing portfolio includes its consumer care brand, Home Instead, Inc., the world’s leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually. Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms. Join us to create a new and better aging experience for our clients, their families, and our Care Professionals. ABOUT US Our mission is simple—we’re changing the way we care for our parents so they can live safely at home as they age. But how we accomplish our mission is anything but simple. Every day, we’re solving complex problems that don’t come with a playbook. Sound exciting? If you’re someone who shares our core values—Own the Outcome, Solve with Empathy, and Act with Honor—let’s talk. Founded in 2014, Honor is one of the fastest-growing non-medical home care companies in the U.S. We combine innovative technology with the local, personal touch of our partner agencies to transform a $30B industry that touches millions of families. Our platform powers everything from caregiver operations and workforce management to business intelligence, forecasting, and machine learning. At Honor, we’re not building technology for technology’s sake. We’re building technology that helps people deliver better care. THE OPPORTUNITY We’re looking for a Staff Data Engineer to help shape the future of Honor’s data platform. This role is focused on building the foundational data platform that powers analytics, machine learning, operational decision-making, and emerging AI capabilities across Honor. As a senior technical leader, you will define architecture, drive platform strategy, and lead the implementation of scalable systems that make trusted data accessible across the organization. This is an opportunity to join at a pivotal point in our evolution. We are modernizing our data platform, investing in cloud-native AWS services, and building the governance and data access capabilities needed to support the next generation of AI-powered and agentic workflows. You'll tackle complex technical challenges, influence company-wide architecture decisions, and help define how data is consumed across the business. WHAT YOU'LL DO BUILD AND EVOLVE OUR AWS-NATIVE DATA PLATFORM * Lead the architecture and development of scalable, secure, and cost-efficient data platforms on AWS. * Architect and optimize our Data Warehouse to support growing analytical, operational, and AI-driven workloads. * Define and implement Infrastructure-as-Code standards using AWS CDK. OWN DATA ORCHESTRATION AND DATA ENGINEERING FOUNDATIONS * Design and operate scalable orchestration frameworks using Airflow and FiveTran. * Partner with the Data Analytics team to establish data modeling standards and transformation practices using dbt. * Build reusable, maintainable data pipelines and workflows that enable rapid development and reliable operation. ENABLE TRUSTED DATA ACCESS THROUGH GOVERNANCE AND AI READINESS * Establish governance, metadata, lineage, and access patterns that make data discoverable, trustworthy, and easy to use. * Help define how both employees and AI-powered systems safely access and leverage company data. * Build the foundations that enable self-service analytics and future agentic workflows across the organization. DRIVE RELIABILITY, OBSERVABILITY, AND OPERATIONAL EXCELLENCE * Establish monitoring, alerting, and observability standards using Datadog and modern platform engineering practices. * Build scalable data quality frameworks that ensure confidence in business-critical data. * Continuously improve platform reliability, performance, and cloud cost efficiency. LEAD THROUGH TECHNICAL INFLUENCE AND PARTNERSHIP * Partner closely with Data Science, Analytics, Product, and Engineering teams to solve complex business problems through data. * Provide technical leadership, architectural guidance, and mentorship across the data organization. * Influence long-term platform strategy and engineering best practices across multiple teams. WHAT WE'RE LOOKING FOR * 8–10+ years of experience building and operating large-scale data platforms, pipelines, and warehouses in cloud environments, with deep expertise in AWS. * Proven track record leading complex technical initiatives and influencing architecture across teams. * Strong software engineering fundamentals and experience building production-grade systems. * Deep expertise in modern data warehousing, ELT/ETL architectures, and data platform design. * Experience operating data platforms with a focus on reliability, observability, data quality, and cost optimization. * Proven ability to leverage modern AI-assisted and agentic development tools to architect, build, and operate production-grade systems. * Experience partnering with data scientists, analysts, product managers, and software engineers to deliver business impact. * Demonstrated ability to navigate ambiguity, drive alignment, and lead through influence rather than authority. * Passion for building platforms that empower others and scale organizational impact. PREFERRED QUALIFICATIONS * Strong hands-on experience with Python, Amazon Redshift, AWS-native ETL technologies (including ZeroETL and DMS), Airflow, dbt, Datadog, Fivetran, and AWS CDK. * Experience designing data governance, metadata, lineage, or self-service data platforms. * Experience supporting AI, machine learning, or agentic workflow initiatives. * Experience leading platform modernization efforts in high-growth environments. * Experience as a Staff Engineer, Principal Engineer, Technical Lead, or Engineering Manager. WHAT'S NEXT? Sound like a fit? Apply below! #LI-AN1 Our range reflects the hiring range for this position. We use national average to determine pay as we are a remote first company. Individual pay is based on a number of factors including qualifications, skills, experience, education, and training. Base pay is just a part of our total rewards program. Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match. We provide medical, dental and vision coverage including zero cost plans for employees. Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option. We offer a generous time off program, mental health benefits, wellness program, and discount program. Hiring Salary Range $194,000—$220,000 USD At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role. Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.
Sista ansökan: 16 aug.Publicerad: 8 juni
MissionCanIf
Data Scientist with a strong background in machine learning
Professional Galaxy AB•Stockholm
Build the Future of Technology with Professional Galaxy AB Join a network of talented engineers, developers, cloud specialists, and AI innovators working on impactful projects across Sweden and Europe. At Professional Galaxy AB, we connect top tech talent with companies driving digital transformation in areas like cloud computing, software engineering, data, cybersecurity, and artificial intelligence. Explore exciting opportunities and grow your career while working with cutting-edge technologies and forward-thinking teams. Data Scientist (Machine Learning Focus) We are seeking a Data Scientist with a strong background in machine learning and data engineering, with the following experience: Must-have experience: DBT SQL GitHub Agile ways of working Cloud experience (preferably GCP) Python programming Nice to have: Interest in business applications Experience with Kubeflow Assignment Details Application deadline: 2026-04-30 Start date: 2026-05-04 End date: 2026-11-30 How to Apply Are you the right person for this assignment, or do you want to recommend a strong candidate? Please apply directly via the Professional Galaxy AB portal with: Your updated CV Your availability to start A motivation statement describing why you are suitable for this role, referencing previous consulting assignments, education, and personal qualities Please note: Applications via email will not be accepted. All applications must be submitted through the portal to be valid. Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.
HeltidSista ansökan: 12 okt.Publicerad: 14 apr.
Data scientistMachine LearningPython